[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-nvidia-gtc-2026-inside-the-agentic-ai-and-inference-infrastructure-wave-en":3,"ArticleBody_jRGg6eAhfzs3WdrlnXcukmUhvllxdrKCcLOESFAU":124},{"article":4,"relatedArticles":93,"locale":64},{"id":5,"title":6,"slug":7,"content":8,"htmlContent":9,"excerpt":10,"category":11,"tags":12,"metaDescription":10,"wordCount":13,"readingTime":14,"publishedAt":15,"sources":16,"sourceCoverage":58,"transparency":59,"seo":63,"language":64,"featuredImage":65,"featuredImageCredit":66,"isFreeGeneration":70,"trendSlug":58,"niche":71,"geoTakeaways":74,"geoFaq":83,"entities":58},"69bd21f75dcedbf95be0c56e","NVIDIA GTC 2026: Inside the Agentic AI and Inference Infrastructure Wave","nvidia-gtc-2026-inside-the-agentic-ai-and-inference-infrastructure-wave","NVIDIA GTC 2026 makes one theme unmistakable: AI is shifting from chat into autonomous digital workforces at industrial scale. “Agentic AI” and “claws” replace one-off prompts with long-running agents that plan, act, and improve, grounded in hardened inference infrastructure and security-first design.  \n\n## Narrative & Product Focus: From Chatbots to Industrial-Scale Agents  \n\nGTC elevates “Agentic AI and Reasoning AI,” “Claws & Long Running Agents,” and “High Performance Inference and Training” as executive pillars, tying developer deep dives to boardroom strategy. The focus moves from building models to operating agents at scale.  \n\nAgentic AI 101 reframes systems from passive responders into active problem-solvers with four core capabilities:  \n- **Planning** multi-step strategies  \n- **Tool use** across APIs, apps, and data planes  \n- **Memory** of prior context and outcomes  \n- **Evaluation** to self-check and improve  \n\n💡 **Callout: New mental model for AI**  \nThink “digital project managers,” not “smarter chatbots.” Agents orchestrate workflows end-to-end instead of answering a single question.  \n\nNVIDIA Agent Toolkit operationalizes this with:  \n- Open models (Nemotron) and open agents (AI-Q)  \n- Open skills (cuOpt)  \n- OpenShell runtime for policy-based security, isolation, and privacy for autonomous claws  \n\nAI-Q’s blueprint architecture pairs frontier models for orchestration with Nemotron research models to cut query costs by over 50% while keeping state-of-the-art accuracy.  \n\nOn top, NemoClaw is the flagship open-source enterprise agent platform, integrated with NeMo, Nemotron, and NVIDIA Inference Microservices (NIM) for orchestration and observability. It targets multi-step workflows such as:  \n- Customer service case resolution  \n- Supply chain planning and exception handling  \n- Cross-system back-office automation  \n\nNemoClaw is hardware-agnostic across NVIDIA, Intel, and AMD, aligning with a projected $28B agentic AI market by 2027 and easing lock-in concerns. Its security and privacy controls aim to turn experimental claws into auditable, compliant digital workforces.  \n\n> 💼 Executive takeaway: GTC 2026 positions Agent Toolkit plus NemoClaw as the reference stack for serious agentic AI roadmaps.  \n\n## Infrastructure, Cloud Ecosystem, and Trust: Making Agents Production-Ready  \n\nInference infrastructure makes agents credible. CoreWeave’s expansion with NVIDIA HGX B300 shows the move from massive, one-off training to continuous reinforcement learning and agent iteration. The B300’s 2.1 TB of HBM3e enables long-context reasoning and large-model inference on a single node, supporting long-running claws and physical AI workloads like robotics and industrial automation.  \n\n“High Performance Inference and Training” and “AI Facts and Scaling Infrastructure” connect this hardware to NeMo, NIM, and Nemotron, where optimized inference microservices rival pretraining in strategic value. Enterprises architect for:  \n- Low-latency, high-throughput NIM endpoints per skill or tool  \n- NeMo-based lifecycle management for agents and models  \n- Elastic cloud and on-prem clusters tuned for inference  \n\n\u003Cdiv class=\"mermaid-diagram not-prose my-6\" role=\"img\" aria-label=\"Diagram\">\n\u003Csvg id=\"diagram-1775215122819\" width=\"100%\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" class=\"flowchart\" style=\"max-width: 1457.578125px;\" viewBox=\"0 0 1457.578125 199\" role=\"graphics-document document\" aria-roledescription=\"flowchart-v2\">\u003Cstyle>#diagram-1775215122819{font-family:system-ui,-apple-system,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#diagram-1775215122819 .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#diagram-1775215122819 .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#diagram-1775215122819 .error-icon{fill:#552222;}#diagram-1775215122819 .error-text{fill:#552222;stroke:#552222;}#diagram-1775215122819 .edge-thickness-normal{stroke-width:1px;}#diagram-1775215122819 .edge-thickness-thick{stroke-width:3.5px;}#diagram-1775215122819 .edge-pattern-solid{stroke-dasharray:0;}#diagram-1775215122819 .edge-thickness-invisible{stroke-width:0;fill:none;}#diagram-1775215122819 .edge-pattern-dashed{stroke-dasharray:3;}#diagram-1775215122819 .edge-pattern-dotted{stroke-dasharray:2;}#diagram-1775215122819 .marker{fill:#333333;stroke:#333333;}#diagram-1775215122819 .marker.cross{stroke:#333333;}#diagram-1775215122819 svg{font-family:system-ui,-apple-system,sans-serif;font-size:16px;}#diagram-1775215122819 p{margin:0;}#diagram-1775215122819 .label{font-family:system-ui,-apple-system,sans-serif;color:#333;}#diagram-1775215122819 .cluster-label text{fill:#333;}#diagram-1775215122819 .cluster-label span{color:#333;}#diagram-1775215122819 .cluster-label span p{background-color:transparent;}#diagram-1775215122819 .label text,#diagram-1775215122819 span{fill:#333;color:#333;}#diagram-1775215122819 .node rect,#diagram-1775215122819 .node circle,#diagram-1775215122819 .node ellipse,#diagram-1775215122819 .node polygon,#diagram-1775215122819 .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#diagram-1775215122819 .rough-node .label text,#diagram-1775215122819 .node .label text,#diagram-1775215122819 .image-shape .label,#diagram-1775215122819 .icon-shape .label{text-anchor:middle;}#diagram-1775215122819 .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#diagram-1775215122819 .rough-node .label,#diagram-1775215122819 .node .label,#diagram-1775215122819 .image-shape .label,#diagram-1775215122819 .icon-shape .label{text-align:center;}#diagram-1775215122819 .node.clickable{cursor:pointer;}#diagram-1775215122819 .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#diagram-1775215122819 .arrowheadPath{fill:#333333;}#diagram-1775215122819 .edgePath .path{stroke:#333333;stroke-width:1px;}#diagram-1775215122819 .flowchart-link{stroke:#333333;fill:none;}#diagram-1775215122819 .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#diagram-1775215122819 .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#diagram-1775215122819 .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#diagram-1775215122819 .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#diagram-1775215122819 .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#diagram-1775215122819 .cluster text{fill:#333;}#diagram-1775215122819 .cluster span{color:#333;}#diagram-1775215122819 div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:system-ui,-apple-system,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#diagram-1775215122819 .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#diagram-1775215122819 rect.text{fill:none;stroke-width:0;}#diagram-1775215122819 .icon-shape,#diagram-1775215122819 .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#diagram-1775215122819 .icon-shape p,#diagram-1775215122819 .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#diagram-1775215122819 .icon-shape .label rect,#diagram-1775215122819 .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#diagram-1775215122819 .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#diagram-1775215122819 .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#diagram-1775215122819 .node .neo-node{stroke:#9370DB;}#diagram-1775215122819 [data-look=\"neo\"].node rect,#diagram-1775215122819 [data-look=\"neo\"].cluster rect,#diagram-1775215122819 [data-look=\"neo\"].node polygon{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].node path{stroke:#9370DB;stroke-width:1px;}#diagram-1775215122819 [data-look=\"neo\"].node .outer-path{filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].node .neo-line path{stroke:#9370DB;filter:none;}#diagram-1775215122819 [data-look=\"neo\"].node circle{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].node circle .state-start{fill:#000000;}#diagram-1775215122819 [data-look=\"neo\"].icon-shape .icon{fill:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].icon-shape .icon-neo path{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 :root{--mermaid-font-family:system-ui,-apple-system,sans-serif;}\u003C\u002Fstyle>\u003Cg>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointEnd\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"5\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"8\" markerHeight=\"8\" orient=\"auto\">\u003Cpath d=\"M 0 0 L 10 5 L 0 10 z\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointStart\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"4.5\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"8\" markerHeight=\"8\" orient=\"auto\">\u003Cpath d=\"M 0 5 L 10 10 L 10 0 z\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointEnd-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 11.5 14\" refX=\"11.5\" refY=\"7\" markerUnits=\"userSpaceOnUse\" markerWidth=\"10.5\" markerHeight=\"14\" orient=\"auto\">\u003Cpath d=\"M 0 0 L 11.5 7 L 0 14 z\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointStart-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 11.5 14\" refX=\"1\" refY=\"7\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11.5\" markerHeight=\"14\" orient=\"auto\">\u003Cpolygon points=\"0,7 11.5,14 11.5,0\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fpolygon>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleEnd\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"11\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleStart\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"-1\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleEnd-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refY=\"5\" refX=\"12.25\" markerUnits=\"userSpaceOnUse\" markerWidth=\"14\" markerHeight=\"14\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleStart-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"-2\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"14\" markerHeight=\"14\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossEnd\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 11 11\" refX=\"12\" refY=\"5.2\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Cpath d=\"M 1,1 l 9,9 M 10,1 l -9,9\" class=\"arrowMarkerPath\" style=\"stroke-width: 2; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossStart\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 11 11\" refX=\"-1\" refY=\"5.2\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Cpath d=\"M 1,1 l 9,9 M 10,1 l -9,9\" class=\"arrowMarkerPath\" style=\"stroke-width: 2; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossEnd-margin\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 15 15\" refX=\"17.7\" refY=\"7.5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"12\" markerHeight=\"12\" orient=\"auto\">\u003Cpath d=\"M 1,1 L 14,14 M 1,14 L 14,1\" class=\"arrowMarkerPath\" style=\"stroke-width: 2.5;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossStart-margin\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 15 15\" refX=\"-3.5\" refY=\"7.5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"12\" markerHeight=\"12\" orient=\"auto\">\u003Cpath d=\"M 1,1 L 14,14 M 1,14 L 14,1\" class=\"arrowMarkerPath\" style=\"stroke-width: 2.5; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cg class=\"root\">\u003Cg class=\"clusters\">\u003C\u002Fg>\u003Cg class=\"edgePaths\">\u003Cpath d=\"M160.703,87L164.87,87C169.036,87,177.37,87,185.036,87C192.703,87,199.703,87,203.203,87L206.703,87\" id=\"diagram-1775215122819-L_A_B_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_A_B_0\" data-points=\"W3sieCI6MTYwLjcwMzEyNSwieSI6ODd9LHsieCI6MTg1LjcwMzEyNSwieSI6ODd9LHsieCI6MjEwLjcwMzEyNSwieSI6ODd9XQ==\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M356.804,60L363.003,57.5C369.203,55,381.601,50,391.301,47.5C401,45,408,45,411.5,45L415,45\" id=\"diagram-1775215122819-L_B_C_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_B_C_0\" data-points=\"W3sieCI6MzU2LjgwNDEyOTQ2NDI4NTcsInkiOjYwfSx7IngiOjM5NCwieSI6NDV9LHsieCI6NDE5LCJ5Ijo0NX1d\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M630.094,36.915L634.26,36.596C638.427,36.277,646.76,35.638,656.154,35.319C665.547,35,676,35,681.227,35L686.453,35\" id=\"diagram-1775215122819-L_C_D_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_C_D_0\" data-points=\"W3sieCI6NjMwLjA5Mzc1LCJ5IjozNi45MTUwMjA5NDU1NDE1OX0seyJ4Ijo2NTUuMDkzNzUsInkiOjM1fSx7IngiOjY5MC40NTMxMjUsInkiOjM1fV0=\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M888.922,35L894.815,35C900.708,35,912.495,35,921.888,35C931.281,35,938.281,35,941.781,35L945.281,35\" id=\"diagram-1775215122819-L_D_E_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_D_E_0\" data-points=\"W3sieCI6ODg4LjkyMTg3NSwieSI6MzV9LHsieCI6OTI0LjI4MTI1LCJ5IjozNX0seyJ4Ijo5NDkuMjgxMjUsInkiOjM1fV0=\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M1152.156,35L1156.323,35C1160.49,35,1168.823,35,1176.49,35C1184.156,35,1191.156,35,1194.656,35L1198.156,35\" id=\"diagram-1775215122819-L_E_F_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_E_F_0\" data-points=\"W3sieCI6MTE1Mi4xNTYyNSwieSI6MzV9LHsieCI6MTE3Ny4xNTYyNSwieSI6MzV9LHsieCI6MTIwMi4xNTYyNSwieSI6MzV9XQ==\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M592.331,72L602.791,76.167C613.252,80.333,634.173,88.667,652.008,95.135C669.844,101.603,684.594,106.206,691.969,108.507L699.345,110.808\" id=\"diagram-1775215122819-L_C_G_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_C_G_0\" data-points=\"W3sieCI6NTkyLjMzMDgyOTMyNjkyMzEsInkiOjcyfSx7IngiOjY1NS4wOTM3NSwieSI6OTd9LHsieCI6NzAzLjE2Mjk0NjQyODU3MTQsInkiOjExMn1d\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M680.094,147.143L675.927,147.452C671.76,147.762,663.427,148.381,637.503,148.69C611.578,149,568.063,149,524.547,149C481.031,149,437.516,149,406.532,143.508C375.548,138.015,357.096,127.031,347.87,121.538L338.644,116.046\" id=\"diagram-1775215122819-L_G_B_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_G_B_0\" data-points=\"W3sieCI6NjgwLjA5Mzc1LCJ5IjoxNDcuMTQyNTU4NjI1NDkzNH0seyJ4Ijo2NTUuMDkzNzUsInkiOjE0OX0seyJ4Ijo1MjQuNTQ2ODc1LCJ5IjoxNDl9LHsieCI6Mzk0LCJ5IjoxNDl9LHsieCI6MzM1LjIwNjUyNzIxNzc0MTk1LCJ5IjoxMTR9XQ==\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003C\u002Fg>\u003Cg class=\"edgeLabels\">\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_A_B_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_B_C_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_C_D_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_D_E_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_E_F_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_C_G_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_G_B_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"nodes\">\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-A-0\" data-look=\"classic\" transform=\"translate(84.3515625, 87)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-76.3515625\" y=\"-27\" width=\"152.703125\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-46.3515625, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"92.703125\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>Users & Ops\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-B-1\" data-look=\"classic\" transform=\"translate(289.8515625, 87)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-79.1484375\" y=\"-27\" width=\"158.296875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-49.1484375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"98.296875\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>Agentic Apps\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-C-3\" data-look=\"classic\" transform=\"translate(524.546875, 45)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-105.546875\" y=\"-27\" width=\"211.09375\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-75.546875, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"151.09375\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>NemoClaw Platform\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-D-5\" data-look=\"classic\" transform=\"translate(789.6875, 35)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-99.234375\" y=\"-27\" width=\"198.46875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-69.234375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"138.46875\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>NIM Microservices\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-E-7\" data-look=\"classic\" transform=\"translate(1050.71875, 35)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-101.4375\" y=\"-27\" width=\"202.875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-71.4375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"142.875\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>NeMo & Nemotron\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-F-9\" data-look=\"classic\" transform=\"translate(1325.8671875, 35)\">\u003Crect class=\"basic label-container\" style=\"fill:#22c55e !important\" x=\"-123.7109375\" y=\"-27\" width=\"247.421875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"color:#fff !important\" transform=\"translate(-93.7109375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"187.421875\" height=\"24\">\u003Cdiv style=\"color: rgb(255, 255, 255) !important; display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\">\u003Cspan style=\"color:#fff !important\" class=\"nodeLabel \">\u003Cp>HGX B300 \u002F Hybrid Cloud\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-G-11\" data-look=\"classic\" transform=\"translate(789.6875, 139)\">\u003Crect class=\"basic label-container\" style=\"fill:#f59e0b !important\" x=\"-109.59375\" y=\"-27\" width=\"219.1875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"color:#000 !important\" transform=\"translate(-79.59375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"159.1875\" height=\"24\">\u003Cdiv style=\"color: rgb(0, 0, 0) !important; display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\">\u003Cspan style=\"color:#000 !important\" class=\"nodeLabel \">\u003Cp>OpenShell Guardrails\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003Cdefs>\u003Cfilter id=\"diagram-1775215122819-drop-shadow\" height=\"130%\" width=\"130%\">\u003CfeDropShadow dx=\"4\" dy=\"4\" stdDeviation=\"0\" flood-opacity=\"0.06\" flood-color=\"#000000\">\u003C\u002FfeDropShadow>\u003C\u002Ffilter>\u003C\u002Fdefs>\u003Cdefs>\u003Cfilter id=\"diagram-1775215122819-drop-shadow-small\" height=\"150%\" width=\"150%\">\u003CfeDropShadow dx=\"2\" dy=\"2\" stdDeviation=\"0\" flood-opacity=\"0.06\" flood-color=\"#000000\">\u003C\u002FfeDropShadow>\u003C\u002Ffilter>\u003C\u002Fdefs>\u003Ctext x=\"1452.578125\" y=\"194\" text-anchor=\"end\" fill=\"#6b7280\" stroke=\"#ffffff\" stroke-width=\"3\" paint-order=\"stroke\" font-size=\"11\" font-family=\"system-ui, sans-serif\" opacity=\"0.7\">coreprose.com\u003C\u002Ftext>\u003C\u002Fsvg>\n\u003C\u002Fdiv>  \n\nThis stack must be trustworthy. The S81494 red-teaming panel details data poisoning, evasion, and prompt-based exploits, urging systematic offensive testing of models and pipelines.  \n\n⚠️ **Security blueprint**  \nNemoClaw’s controls plus OpenShell’s policy runtime and security-vendor integrations offer a pattern for regulated deployments:  \n- Strictly constrain what claws can access  \n- Log every action  \n- Continuously adversarially test agents  \n\nExperiences like the “Build-a-Claw” park and open AI-Q blueprints make this architecture tangible, letting teams leave GTC with prototypes that map cleanly to production patterns.  \n\nGTC 2026 marks an inflection point: agentic AI, optimized inference infrastructure, and security-by-design converge into a deployable enterprise stack. Use this structure to brief leadership, align product roadmaps, and shortlist platforms and partners for the next wave of agentic AI investments.","\u003Cp>NVIDIA GTC 2026 makes one theme unmistakable: AI is shifting from chat into autonomous digital workforces at industrial scale. “Agentic AI” and “claws” replace one-off prompts with long-running agents that plan, act, and improve, grounded in hardened inference infrastructure and security-first design.\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003Ch2>Narrative & Product Focus: From Chatbots to Industrial-Scale Agents\u003C\u002Fh2>\n\u003Cp>GTC elevates “Agentic AI and Reasoning AI,” “Claws & Long Running Agents,” and “High Performance Inference and Training” as executive pillars, tying developer deep dives to boardroom strategy.\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa> The focus moves from building models to operating agents at scale.\u003C\u002Fp>\n\u003Cp>Agentic AI 101 reframes systems from passive responders into active problem-solvers with four core capabilities:\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Planning\u003C\u002Fstrong> multi-step strategies\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Tool use\u003C\u002Fstrong> across APIs, apps, and data planes\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Memory\u003C\u002Fstrong> of prior context and outcomes\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Evaluation\u003C\u002Fstrong> to self-check and improve\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>💡 \u003Cstrong>Callout: New mental model for AI\u003C\u002Fstrong>\u003Cbr>\nThink “digital project managers,” not “smarter chatbots.” Agents orchestrate workflows end-to-end instead of answering a single question.\u003C\u002Fp>\n\u003Cp>NVIDIA Agent Toolkit operationalizes this with:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Open models (Nemotron) and open agents (AI-Q)\u003C\u002Fli>\n\u003Cli>Open skills (cuOpt)\u003C\u002Fli>\n\u003Cli>OpenShell runtime for policy-based security, isolation, and privacy for autonomous claws\u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>AI-Q’s blueprint architecture pairs frontier models for orchestration with Nemotron research models to cut query costs by over 50% while keeping state-of-the-art accuracy.\u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>On top, NemoClaw is the flagship open-source enterprise agent platform, integrated with NeMo, Nemotron, and NVIDIA Inference Microservices (NIM) for orchestration and observability.\u003Ca href=\"#source-8\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-9\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa> It targets multi-step workflows such as:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Customer service case resolution\u003C\u002Fli>\n\u003Cli>Supply chain planning and exception handling\u003C\u002Fli>\n\u003Cli>Cross-system back-office automation\u003Ca href=\"#source-8\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-9\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>NemoClaw is hardware-agnostic across NVIDIA, Intel, and AMD, aligning with a projected $28B agentic AI market by 2027 and easing lock-in concerns.\u003Ca href=\"#source-8\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-9\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-10\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa> Its security and privacy controls aim to turn experimental claws into auditable, compliant digital workforces.\u003C\u002Fp>\n\u003Cblockquote>\n\u003Cp>💼 Executive takeaway: GTC 2026 positions Agent Toolkit plus NemoClaw as the reference stack for serious agentic AI roadmaps.\u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-8\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2>Infrastructure, Cloud Ecosystem, and Trust: Making Agents Production-Ready\u003C\u002Fh2>\n\u003Cp>Inference infrastructure makes agents credible. CoreWeave’s expansion with NVIDIA HGX B300 shows the move from massive, one-off training to continuous reinforcement learning and agent iteration.\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa> The B300’s 2.1 TB of HBM3e enables long-context reasoning and large-model inference on a single node, supporting long-running claws and physical AI workloads like robotics and industrial automation.\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>“High Performance Inference and Training” and “AI Facts and Scaling Infrastructure” connect this hardware to NeMo, NIM, and Nemotron, where optimized inference microservices rival pretraining in strategic value.\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa> Enterprises architect for:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Low-latency, high-throughput NIM endpoints per skill or tool\u003C\u002Fli>\n\u003Cli>NeMo-based lifecycle management for agents and models\u003C\u002Fli>\n\u003Cli>Elastic cloud and on-prem clusters tuned for inference\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cdiv class=\"mermaid-diagram not-prose my-6\" role=\"img\" aria-label=\"Diagram\">\n\u003Csvg id=\"diagram-1775215122819\" width=\"100%\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" class=\"flowchart\" style=\"max-width: 1457.578125px;\" viewBox=\"0 0 1457.578125 199\" role=\"graphics-document document\" aria-roledescription=\"flowchart-v2\">\u003Cstyle>#diagram-1775215122819{font-family:system-ui,-apple-system,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#diagram-1775215122819 .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#diagram-1775215122819 .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#diagram-1775215122819 .error-icon{fill:#552222;}#diagram-1775215122819 .error-text{fill:#552222;stroke:#552222;}#diagram-1775215122819 .edge-thickness-normal{stroke-width:1px;}#diagram-1775215122819 .edge-thickness-thick{stroke-width:3.5px;}#diagram-1775215122819 .edge-pattern-solid{stroke-dasharray:0;}#diagram-1775215122819 .edge-thickness-invisible{stroke-width:0;fill:none;}#diagram-1775215122819 .edge-pattern-dashed{stroke-dasharray:3;}#diagram-1775215122819 .edge-pattern-dotted{stroke-dasharray:2;}#diagram-1775215122819 .marker{fill:#333333;stroke:#333333;}#diagram-1775215122819 .marker.cross{stroke:#333333;}#diagram-1775215122819 svg{font-family:system-ui,-apple-system,sans-serif;font-size:16px;}#diagram-1775215122819 p{margin:0;}#diagram-1775215122819 .label{font-family:system-ui,-apple-system,sans-serif;color:#333;}#diagram-1775215122819 .cluster-label text{fill:#333;}#diagram-1775215122819 .cluster-label span{color:#333;}#diagram-1775215122819 .cluster-label span p{background-color:transparent;}#diagram-1775215122819 .label text,#diagram-1775215122819 span{fill:#333;color:#333;}#diagram-1775215122819 .node rect,#diagram-1775215122819 .node circle,#diagram-1775215122819 .node ellipse,#diagram-1775215122819 .node polygon,#diagram-1775215122819 .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#diagram-1775215122819 .rough-node .label text,#diagram-1775215122819 .node .label text,#diagram-1775215122819 .image-shape .label,#diagram-1775215122819 .icon-shape .label{text-anchor:middle;}#diagram-1775215122819 .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#diagram-1775215122819 .rough-node .label,#diagram-1775215122819 .node .label,#diagram-1775215122819 .image-shape .label,#diagram-1775215122819 .icon-shape .label{text-align:center;}#diagram-1775215122819 .node.clickable{cursor:pointer;}#diagram-1775215122819 .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#diagram-1775215122819 .arrowheadPath{fill:#333333;}#diagram-1775215122819 .edgePath .path{stroke:#333333;stroke-width:1px;}#diagram-1775215122819 .flowchart-link{stroke:#333333;fill:none;}#diagram-1775215122819 .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#diagram-1775215122819 .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#diagram-1775215122819 .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#diagram-1775215122819 .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#diagram-1775215122819 .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#diagram-1775215122819 .cluster text{fill:#333;}#diagram-1775215122819 .cluster span{color:#333;}#diagram-1775215122819 div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:system-ui,-apple-system,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#diagram-1775215122819 .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#diagram-1775215122819 rect.text{fill:none;stroke-width:0;}#diagram-1775215122819 .icon-shape,#diagram-1775215122819 .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#diagram-1775215122819 .icon-shape p,#diagram-1775215122819 .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#diagram-1775215122819 .icon-shape .label rect,#diagram-1775215122819 .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#diagram-1775215122819 .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#diagram-1775215122819 .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#diagram-1775215122819 .node .neo-node{stroke:#9370DB;}#diagram-1775215122819 [data-look=\"neo\"].node rect,#diagram-1775215122819 [data-look=\"neo\"].cluster rect,#diagram-1775215122819 [data-look=\"neo\"].node polygon{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].node path{stroke:#9370DB;stroke-width:1px;}#diagram-1775215122819 [data-look=\"neo\"].node .outer-path{filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].node .neo-line path{stroke:#9370DB;filter:none;}#diagram-1775215122819 [data-look=\"neo\"].node circle{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].node circle .state-start{fill:#000000;}#diagram-1775215122819 [data-look=\"neo\"].icon-shape .icon{fill:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 [data-look=\"neo\"].icon-shape .icon-neo path{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#diagram-1775215122819 :root{--mermaid-font-family:system-ui,-apple-system,sans-serif;}\u003C\u002Fstyle>\u003Cg>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointEnd\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"5\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"8\" markerHeight=\"8\" orient=\"auto\">\u003Cpath d=\"M 0 0 L 10 5 L 0 10 z\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointStart\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"4.5\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"8\" markerHeight=\"8\" orient=\"auto\">\u003Cpath d=\"M 0 5 L 10 10 L 10 0 z\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointEnd-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 11.5 14\" refX=\"11.5\" refY=\"7\" markerUnits=\"userSpaceOnUse\" markerWidth=\"10.5\" markerHeight=\"14\" orient=\"auto\">\u003Cpath d=\"M 0 0 L 11.5 7 L 0 14 z\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-pointStart-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 11.5 14\" refX=\"1\" refY=\"7\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11.5\" markerHeight=\"14\" orient=\"auto\">\u003Cpolygon points=\"0,7 11.5,14 11.5,0\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fpolygon>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleEnd\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"11\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleStart\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"-1\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 1; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleEnd-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refY=\"5\" refX=\"12.25\" markerUnits=\"userSpaceOnUse\" markerWidth=\"14\" markerHeight=\"14\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-circleStart-margin\" class=\"marker flowchart-v2\" viewBox=\"0 0 10 10\" refX=\"-2\" refY=\"5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"14\" markerHeight=\"14\" orient=\"auto\">\u003Ccircle cx=\"5\" cy=\"5\" r=\"5\" class=\"arrowMarkerPath\" style=\"stroke-width: 0; stroke-dasharray: 1, 0;\">\u003C\u002Fcircle>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossEnd\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 11 11\" refX=\"12\" refY=\"5.2\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Cpath d=\"M 1,1 l 9,9 M 10,1 l -9,9\" class=\"arrowMarkerPath\" style=\"stroke-width: 2; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossStart\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 11 11\" refX=\"-1\" refY=\"5.2\" markerUnits=\"userSpaceOnUse\" markerWidth=\"11\" markerHeight=\"11\" orient=\"auto\">\u003Cpath d=\"M 1,1 l 9,9 M 10,1 l -9,9\" class=\"arrowMarkerPath\" style=\"stroke-width: 2; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossEnd-margin\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 15 15\" refX=\"17.7\" refY=\"7.5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"12\" markerHeight=\"12\" orient=\"auto\">\u003Cpath d=\"M 1,1 L 14,14 M 1,14 L 14,1\" class=\"arrowMarkerPath\" style=\"stroke-width: 2.5;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cmarker id=\"diagram-1775215122819_flowchart-v2-crossStart-margin\" class=\"marker cross flowchart-v2\" viewBox=\"0 0 15 15\" refX=\"-3.5\" refY=\"7.5\" markerUnits=\"userSpaceOnUse\" markerWidth=\"12\" markerHeight=\"12\" orient=\"auto\">\u003Cpath d=\"M 1,1 L 14,14 M 1,14 L 14,1\" class=\"arrowMarkerPath\" style=\"stroke-width: 2.5; stroke-dasharray: 1, 0;\">\u003C\u002Fpath>\u003C\u002Fmarker>\u003Cg class=\"root\">\u003Cg class=\"clusters\">\u003C\u002Fg>\u003Cg class=\"edgePaths\">\u003Cpath d=\"M160.703,87L164.87,87C169.036,87,177.37,87,185.036,87C192.703,87,199.703,87,203.203,87L206.703,87\" id=\"diagram-1775215122819-L_A_B_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_A_B_0\" data-points=\"W3sieCI6MTYwLjcwMzEyNSwieSI6ODd9LHsieCI6MTg1LjcwMzEyNSwieSI6ODd9LHsieCI6MjEwLjcwMzEyNSwieSI6ODd9XQ==\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M356.804,60L363.003,57.5C369.203,55,381.601,50,391.301,47.5C401,45,408,45,411.5,45L415,45\" id=\"diagram-1775215122819-L_B_C_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_B_C_0\" data-points=\"W3sieCI6MzU2LjgwNDEyOTQ2NDI4NTcsInkiOjYwfSx7IngiOjM5NCwieSI6NDV9LHsieCI6NDE5LCJ5Ijo0NX1d\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M630.094,36.915L634.26,36.596C638.427,36.277,646.76,35.638,656.154,35.319C665.547,35,676,35,681.227,35L686.453,35\" id=\"diagram-1775215122819-L_C_D_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_C_D_0\" data-points=\"W3sieCI6NjMwLjA5Mzc1LCJ5IjozNi45MTUwMjA5NDU1NDE1OX0seyJ4Ijo2NTUuMDkzNzUsInkiOjM1fSx7IngiOjY5MC40NTMxMjUsInkiOjM1fV0=\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M888.922,35L894.815,35C900.708,35,912.495,35,921.888,35C931.281,35,938.281,35,941.781,35L945.281,35\" id=\"diagram-1775215122819-L_D_E_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_D_E_0\" data-points=\"W3sieCI6ODg4LjkyMTg3NSwieSI6MzV9LHsieCI6OTI0LjI4MTI1LCJ5IjozNX0seyJ4Ijo5NDkuMjgxMjUsInkiOjM1fV0=\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M1152.156,35L1156.323,35C1160.49,35,1168.823,35,1176.49,35C1184.156,35,1191.156,35,1194.656,35L1198.156,35\" id=\"diagram-1775215122819-L_E_F_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_E_F_0\" data-points=\"W3sieCI6MTE1Mi4xNTYyNSwieSI6MzV9LHsieCI6MTE3Ny4xNTYyNSwieSI6MzV9LHsieCI6MTIwMi4xNTYyNSwieSI6MzV9XQ==\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M592.331,72L602.791,76.167C613.252,80.333,634.173,88.667,652.008,95.135C669.844,101.603,684.594,106.206,691.969,108.507L699.345,110.808\" id=\"diagram-1775215122819-L_C_G_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_C_G_0\" data-points=\"W3sieCI6NTkyLjMzMDgyOTMyNjkyMzEsInkiOjcyfSx7IngiOjY1NS4wOTM3NSwieSI6OTd9LHsieCI6NzAzLjE2Mjk0NjQyODU3MTQsInkiOjExMn1d\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003Cpath d=\"M680.094,147.143L675.927,147.452C671.76,147.762,663.427,148.381,637.503,148.69C611.578,149,568.063,149,524.547,149C481.031,149,437.516,149,406.532,143.508C375.548,138.015,357.096,127.031,347.87,121.538L338.644,116.046\" id=\"diagram-1775215122819-L_G_B_0\" class=\" edge-thickness-normal edge-pattern-solid edge-thickness-normal edge-pattern-solid flowchart-link\" style=\";\" data-edge=\"true\" data-et=\"edge\" data-id=\"L_G_B_0\" data-points=\"W3sieCI6NjgwLjA5Mzc1LCJ5IjoxNDcuMTQyNTU4NjI1NDkzNH0seyJ4Ijo2NTUuMDkzNzUsInkiOjE0OX0seyJ4Ijo1MjQuNTQ2ODc1LCJ5IjoxNDl9LHsieCI6Mzk0LCJ5IjoxNDl9LHsieCI6MzM1LjIwNjUyNzIxNzc0MTk1LCJ5IjoxMTR9XQ==\" data-look=\"classic\" marker-end=\"url(#diagram-1775215122819_flowchart-v2-pointEnd)\">\u003C\u002Fpath>\u003C\u002Fg>\u003Cg class=\"edgeLabels\">\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_A_B_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_B_C_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_C_D_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_D_E_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_E_F_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_C_G_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"edgeLabel\">\u003Cg class=\"label\" data-id=\"L_G_B_0\" transform=\"translate(0, 0)\">\u003CforeignObject width=\"0\" height=\"0\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"edgeLabel \">\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"nodes\">\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-A-0\" data-look=\"classic\" transform=\"translate(84.3515625, 87)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-76.3515625\" y=\"-27\" width=\"152.703125\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-46.3515625, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"92.703125\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>Users & Ops\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-B-1\" data-look=\"classic\" transform=\"translate(289.8515625, 87)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-79.1484375\" y=\"-27\" width=\"158.296875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-49.1484375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"98.296875\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>Agentic Apps\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-C-3\" data-look=\"classic\" transform=\"translate(524.546875, 45)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-105.546875\" y=\"-27\" width=\"211.09375\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-75.546875, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"151.09375\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>NemoClaw Platform\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-D-5\" data-look=\"classic\" transform=\"translate(789.6875, 35)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-99.234375\" y=\"-27\" width=\"198.46875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-69.234375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"138.46875\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>NIM Microservices\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-E-7\" data-look=\"classic\" transform=\"translate(1050.71875, 35)\">\u003Crect class=\"basic label-container\" style=\"\" x=\"-101.4375\" y=\"-27\" width=\"202.875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"\" transform=\"translate(-71.4375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"142.875\" height=\"24\">\u003Cdiv xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\">\u003Cspan class=\"nodeLabel \">\u003Cp>NeMo & Nemotron\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-F-9\" data-look=\"classic\" transform=\"translate(1325.8671875, 35)\">\u003Crect class=\"basic label-container\" style=\"fill:#22c55e !important\" x=\"-123.7109375\" y=\"-27\" width=\"247.421875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"color:#fff !important\" transform=\"translate(-93.7109375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"187.421875\" height=\"24\">\u003Cdiv style=\"color: rgb(255, 255, 255) !important; display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\">\u003Cspan style=\"color:#fff !important\" class=\"nodeLabel \">\u003Cp>HGX B300 \u002F Hybrid Cloud\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003Cg class=\"node default  \" id=\"diagram-1775215122819-flowchart-G-11\" data-look=\"classic\" transform=\"translate(789.6875, 139)\">\u003Crect class=\"basic label-container\" style=\"fill:#f59e0b !important\" x=\"-109.59375\" y=\"-27\" width=\"219.1875\" height=\"54\">\u003C\u002Frect>\u003Cg class=\"label\" style=\"color:#000 !important\" transform=\"translate(-79.59375, -12)\">\u003Crect>\u003C\u002Frect>\u003CforeignObject width=\"159.1875\" height=\"24\">\u003Cdiv style=\"color: rgb(0, 0, 0) !important; display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\">\u003Cspan style=\"color:#000 !important\" class=\"nodeLabel \">\u003Cp>OpenShell Guardrails\u003C\u002Fp>\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002FforeignObject>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003C\u002Fg>\u003Cdefs>\u003Cfilter id=\"diagram-1775215122819-drop-shadow\" height=\"130%\" width=\"130%\">\u003CfeDropShadow dx=\"4\" dy=\"4\" stdDeviation=\"0\" flood-opacity=\"0.06\" flood-color=\"#000000\">\u003C\u002FfeDropShadow>\u003C\u002Ffilter>\u003C\u002Fdefs>\u003Cdefs>\u003Cfilter id=\"diagram-1775215122819-drop-shadow-small\" height=\"150%\" width=\"150%\">\u003CfeDropShadow dx=\"2\" dy=\"2\" stdDeviation=\"0\" flood-opacity=\"0.06\" flood-color=\"#000000\">\u003C\u002FfeDropShadow>\u003C\u002Ffilter>\u003C\u002Fdefs>\u003Ctext x=\"1452.578125\" y=\"194\" text-anchor=\"end\" fill=\"#6b7280\" stroke=\"#ffffff\" stroke-width=\"3\" paint-order=\"stroke\" font-size=\"11\" font-family=\"system-ui, sans-serif\" opacity=\"0.7\">coreprose.com\u003C\u002Ftext>\u003C\u002Fsvg>\n\u003C\u002Fdiv>  \n\u003Cp>This stack must be trustworthy. The S81494 red-teaming panel details data poisoning, evasion, and prompt-based exploits, urging systematic offensive testing of models and pipelines.\u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>⚠️ \u003Cstrong>Security blueprint\u003C\u002Fstrong>\u003Cbr>\nNemoClaw’s controls plus OpenShell’s policy runtime and security-vendor integrations offer a pattern for regulated deployments:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Strictly constrain what claws can access\u003C\u002Fli>\n\u003Cli>Log every action\u003C\u002Fli>\n\u003Cli>Continuously adversarially test agents\u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-9\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Experiences like the “Build-a-Claw” park and open AI-Q blueprints make this architecture tangible, letting teams leave GTC with prototypes that map cleanly to production patterns.\u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source\">\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>GTC 2026 marks an inflection point: agentic AI, optimized inference infrastructure, and security-by-design converge into a deployable enterprise stack. Use this structure to brief leadership, align product roadmaps, and shortlist platforms and partners for the next wave of agentic AI investments.\u003C\u002Fp>\n","NVIDIA GTC 2026 makes one theme unmistakable: AI is shifting from chat into autonomous digital workforces at industrial scale. “Agentic AI” and “claws” replace one-off prompts with long-running agents...","trend-radar",[],597,3,"2026-03-20T10:32:51.673Z",[17,22,26,30,34,38,42,46,50,54],{"title":18,"url":19,"summary":20,"type":21},"NVIDIA Ignites the Next Industrial Revolution in Knowledge Work With Open Agent Development Platform","http:\u002F\u002Fnvidianews.nvidia.com\u002Fnews\u002Fai-agents","NVIDIA Ignites the Next Industrial Revolution in Knowledge Work With Open Agent Development Platform\n\nNVIDIA Agent Toolkit Equips Enterprises to Build and Run AI Agents\n\n March 16, 2026 \n\nNVIDIA Agent...","kb",{"title":23,"url":24,"summary":25,"type":21},"CoreWeave Advances AI-Native Cloud Platform for the Next Phase of Production-Scale AI","https:\u002F\u002Finvestors.coreweave.com\u002Fnews\u002Fnews-details\u002F2026\u002FCoreWeave-Advances-AI-Native-Cloud-Platform-for-the-Next-Phase-of-Production-Scale-AI\u002Fdefault.aspx","CoreWeave Advances AI-Native Cloud Platform for the Next Phase of Production-Scale AI\n\nMarch 16, 2026\n\nNew capabilities to develop, deploy, and iterate AI faster for mission critical workloads across ...",{"title":27,"url":28,"summary":29,"type":21},"Agentic AI 101","https:\u002F\u002Fwww.nvidia.com\u002Fgtc\u002Fsession-catalog\u002Fsessions\u002Fgtc26-s82432\u002F","Agentic AI is evolving rapidly, shifting AI systems from passive responders to active systems that can plan, reason, and take action. In this session, we break down what agentic AI is, how the space h...",{"title":31,"url":32,"summary":33,"type":21},"GTC 2026 Session Catalog","https:\u002F\u002Fwww.nvidia.com\u002Fgtc\u002Fsession-catalog\u002F?regcode=GTC-NVKTSUJI&ncid=GTC-NVKTSUJI","GTC 2026 Session Catalog\n\nAttendance to sessions is first come, first seated.\n\nFind sessions that fit your interests.\n\nStep 1 of 2: Choose a topic to see relevant sessions.\n\nAgentic AI \u002F Generative AI...",{"title":35,"url":36,"summary":37,"type":21},"Agentic AI Conference Sessions","https:\u002F\u002Fwww.nvidia.com\u002Fgtc\u002Fsessions\u002Fagentic-ai\u002F","Agentic AI Conference Sessions\n\nLearn how AI agents reason, plan, and act autonomously to transform enterprise data into intelligent, production-ready digital workforces.",{"title":39,"url":40,"summary":41,"type":21},"Securing AI Application: Red Teaming the Models and Applications [S81494]","https:\u002F\u002Fwww.nvidia.com\u002Fgtc\u002Fsession-catalog\u002Fsessions\u002Fgtc26-s81494\u002F","Securing AI Application: Red Teaming the Models and Applications [S81494]\n\nNicole Carignan — SVP, Security and AI Strategy, Field CISO — Darktrace\nOmar Santos — AI Security Engineering, Security and T...",{"title":43,"url":44,"summary":45,"type":21},"NVIDIA GTC is the premier global AI conference, taking place this week throughout San Jose","https:\u002F\u002Fwww.nvidia.com\u002Fgtc\u002F","NVIDIA GTC is the premier global AI conference, taking place this week throughout San Jose. Join thousands of developers, researchers, and business leaders, live and online, to explore the AI breakthr...",{"title":47,"url":48,"summary":49,"type":21},"Nvidia Announces NemoClaw Open-Source Platform for Enterprise AI Agents","https:\u002F\u002Fmlq.ai\u002Fnews\u002Fnvidia-announces-nemoclaw-open-source-platform-for-enterprise-ai-agents\u002F","Nvidia is preparing to launch NemoClaw, an open-source platform designed to enable enterprises to deploy AI agents for autonomous task execution across business workflows. The chipmaker has presented ...",{"title":51,"url":52,"summary":53,"type":21},"NVIDIA NemoClaw: The Open-Source AI Agent Platform for Enterprises","https:\u002F\u002Fwww.alphamatch.ai\u002Fblog\u002Fnvidia-nemoclaw-ai-agent-platform-gtc-2026","NVIDIA is planning to launch an open-source AI agent platform called NemoClaw, designed specifically for enterprise-grade deployment of autonomous AI agents. The platform is built to help companies mo...",{"title":55,"url":56,"summary":57,"type":21},"Nvidia pitches open-source AI agent platform NemoClaw to enterprise firms: Report","https:\u002F\u002Fwww.storyboard18.com\u002Fbrand-marketing\u002Fnvidia-pitches-open-source-ai-agent-platform-nemoclaw-to-enterprise-firms-report-91739.htm","Nvidia is reportedly preparing to introduce an open-source artificial intelligence agent platform called NemoClaw, targeting enterprise software ecosystems, according to a report by Wired citing peopl...",null,{"generationDuration":60,"kbQueriesCount":61,"confidenceScore":62,"sourcesCount":61},45093,10,100,{"metaTitle":6,"metaDescription":10},"en","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1662221222462-5ba29f257d0a?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxudmlkaWElMjBndGMlMjAyMDI2JTIwaW5zaWRlfGVufDF8MHx8fDE3NzUxNTIxMTd8MA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress",{"photographerName":67,"photographerUrl":68,"unsplashUrl":69},"Andrey Matveev","https:\u002F\u002Funsplash.com\u002F@zelebb?utm_source=coreprose&utm_medium=referral","https:\u002F\u002Funsplash.com\u002Fphotos\u002Fa-black-electronic-device-N5TxDQkPzQk?utm_source=coreprose&utm_medium=referral",true,{"key":72,"name":73,"nameEn":73},"ai-engineering","AI Engineering & LLM Ops",[75,77,79,81],{"text":76},"Agentic AI shifts from chat-based interactions to industrial-scale autonomous digital workforces, anchored by four core capabilities: Planning, Tool use, Memory, and Evaluation.",{"text":78},"NVIDIA’s Agent Toolkit combines Nemotron open models, AI-Q open agents, cuOpt open skills, and OpenShell runtime to deliver secure, policy-based claws that reduce query costs and enable scalable orchestration.",{"text":80},"The strategy emphasizes operating agents at scale with high-performance inference and training, framed as “digital project managers” that orchestrate end-to-end workflows rather than answering single questions.",{"text":82},"The mental model shift from smarter chatbots to long-running agents enables continuous improvement, governance, and security-first design across enterprise workloads.",[84,87,90],{"question":85,"answer":86},"What is Agentic AI and how does it differ from traditional chatbots?","Agentic AI are active, problem-solving digital agents that plan, reason, tool-use, remember context, and evaluate outcomes to execute end-to-end workflows. They operate autonomously over extended periods, acting as digital project managers rather than responding to isolated prompts. This enables scalable, multi-step decision-making and ongoing optimization across complex enterprise tasks.",{"question":88,"answer":89},"What components make up NVIDIA's Agent Toolkit and OpenShell?","The toolkit comprises Nemotron open models, AI-Q open agents, cuOpt open skills, and OpenShell runtime. OpenShell provides policy-based security, isolation, and privacy to support autonomous claws. Together, these components enable secure orchestration, modular capabilities, and cost-efficient cross-system automation at scale.",{"question":91,"answer":92},"What is the potential impact on cost and performance?","NVIDIA asserts that orchestration with Nemotron research models and AI-Q agents can cut query costs by more than 50% and boost efficiency in high-performance inference and training. The combination supports scalable, secure deployment of long-running agents across industrial workloads, delivering measurable improvements in throughput and governance.",[94,101,109,117],{"id":95,"title":96,"slug":97,"excerpt":98,"category":11,"featuredImage":99,"publishedAt":100},"69fc80447894807ad7bc3111","Cadence's ChipStack Mental Model: A New Blueprint for Agent-Driven Chip Design","cadence-s-chipstack-mental-model-a-new-blueprint-for-agent-driven-chip-design","From Human Intuition to ChipStack’s Mental Model\n\nModern AI-era SoCs are limited less by EDA speed than by how fast scarce verification talent can turn messy specs into solid RTL, testbenches, and clo...","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1564707944519-7a116ef3841c?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxNnx8YXJ0aWZpY2lhbCUyMGludGVsbGlnZW5jZSUyMHRlY2hub2xvZ3l8ZW58MXwwfHx8MTc3ODE1NTU4OHww&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-05-07T12:11:49.993Z",{"id":102,"title":103,"slug":104,"excerpt":105,"category":106,"featuredImage":107,"publishedAt":108},"69ec35c9e96ba002c5b857b0","Anthropic Claude Code npm Source Map Leak: When Packaging Turns into a Security Incident","anthropic-claude-code-npm-source-map-leak-when-packaging-turns-into-a-security-incident","When an AI coding tool’s minified JavaScript quietly ships its full TypeScript via npm source maps, it is not just leaking “how the product works.”  \n\nIt can expose:\n\n- Model orchestration logic  \n- A...","security","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1770278856325-e313d121ea16?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxNnx8Y3liZXJzZWN1cml0eSUyMHRlY2hub2xvZ3l8ZW58MXwwfHx8MTc3NzA4ODMyMXww&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-04-25T03:38:40.358Z",{"id":110,"title":111,"slug":112,"excerpt":113,"category":114,"featuredImage":115,"publishedAt":116},"69ea97b44d7939ebf3b76ac6","Lovable Vibe Coding Platform Exposes 48 Days of AI Prompts: Multi‑Tenant KV-Cache Failure and How to Fix It","lovable-vibe-coding-platform-exposes-48-days-of-ai-prompts-multi-tenant-kv-cache-failure-and-how-to-fix-it","From Product Darling to Incident Report: What Happened\n\nLovable Vibe was a “lovable” AI coding assistant inside IDE-like workflows.  \nIt powered:\n\n- Autocomplete, refactors, code reviews  \n- Chat over...","hallucinations","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1771942202908-6ce86ef73701?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxsb3ZhYmxlJTIwdmliZSUyMGNvZGluZyUyMHBsYXRmb3JtfGVufDF8MHx8fDE3NzY5OTk3MTB8MA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-04-23T22:12:17.628Z",{"id":118,"title":119,"slug":120,"excerpt":121,"category":114,"featuredImage":122,"publishedAt":123},"69ea7a6f29f0ff272d10c43b","Anthropic Mythos AI: Inside the ‘Too Dangerous’ Cybersecurity Model and What Engineers Must Do Next","anthropic-mythos-ai-inside-the-too-dangerous-cybersecurity-model-and-what-engineers-must-do-next","Anthropic’s Mythos is the first mainstream large language model whose creators publicly argued it was “too dangerous” to release, after internal tests showed it could autonomously surface thousands of...","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1728547874364-d5a7b7927c5b?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxhbnRocm9waWMlMjBteXRob3MlMjBpbnNpZGUlMjB0b298ZW58MXwwfHx8MTc3Njk3NjU3Nnww&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-04-23T20:09:25.832Z",["Island",125],{"key":126,"params":127,"result":129},"ArticleBody_jRGg6eAhfzs3WdrlnXcukmUhvllxdrKCcLOESFAU",{"props":128},"{\"articleId\":\"69bd21f75dcedbf95be0c56e\"}",{"head":130},{}]