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Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup. Choose a physics engine and integration for robot learning, manipulation, assembly, differentiable optimization, or other Physical AI simulation. Compare Newton, PhysX, MuJoCo/MJX, Bullet/PyBullet, VSim Robotics, Genesis, and Drake. Evaluate Newton first Add agent-ready vision capabilities — dense captioning, detection, search, alerting, summarization — to an agent or application through a customizable, self-contained vision stack built on the NVIDIA VSS Blueprint. Use this skill when a developer or agent Design, simulate, and optimize AI factory infrastructure with digital twins.Physical AI & RoboticsEnterpriseNVIDIA Omniverse DSX Blueprint for AI Factory Digital Twins
Deploy AI agents to investigate cluster issues and streamline governed AI factory operations.Developer ExampleAI Factory Operations Agent
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and A Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO Learn how to use generative AI and an AI assistant to create content on RTX SparkBeginner60 MINCreate with an AI Agent
Configure your dev environment and a coding agentBeginner30 MINSetup your AI Development Workspace
A shared GPU workspace your team can access from anywhereBeginner5 MINRegister AI Compute with Brev
Isolate AI coding agents like Pi with kernel-level policies and a locally served vLLM modelIntermediate30 MINSecure AI Agents with OpenShell
Inspect DGX Station software and route version-aware, CLI-backed workflows Distill and deploy domain-specific AI models from unstructured financial data to generate market signals efficiently—scaling your workflow with the NVIDIA Data Flywheel Blueprint for high-performance, cost-efficient experimentation.Financial ServicesLaunchableDeveloper ExampleAI Model Distillation for Financial Data
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, work Open, secure runtime for AI agents. It governs agent execution, access, and where inference goes. Have an AI Chief of Staff organize your dayBeginner60 MINBoost Productivity with an AI Agent
Notebook access, GPU status, and update controls in one placeBeginner30 MINMonitor Your AI Compute with DGX Dashboard
Reach your machine remotely via NVIDIA SyncBeginner5 MINConnect Remotely to Your AI Compute
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.TelecomLaunchableDeveloper ExampleAI Agent for Telecom Network Configuration Planning
Homogeneous dual-GPU setups for llama.cpp tensor parallel and ComfyUI multi-GPU diffusionIntermediate13 MINBuild a Multi-GPU AI PC
Set up or troubleshoot the Auto Ontology runtime. Use for Helm (the official install), Docker Compose, developer setup, and MCP connection to an existing deployment. Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/Op Accelerate AI and productivity with a remote, always available RTX Spark compact desktopIntermediate30 MINSet Up RTX Spark as Your Always-On AI Hub
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