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This NVIDIA Omniverse™ Blueprint demonstrates how commercial software vendors can create interactive digital twins.Physical AI & RoboticsEnterpriseBuild a Digital Twin for Interactive Fluid Simulation
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
Design, simulate, and optimize AI factory infrastructure with digital twins.Physical AI & RoboticsEnterpriseNVIDIA Omniverse DSX Blueprint for AI Factory Digital Twins
Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.Free Endpointcosmos-transfer2.5-2b
Use for agent-assisted Auto-FL optimization of an existing NVFLARE job in simulation, POC, or production. Do not use for code conversion, diagnosis-only work, or deployment setup. Use when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION, or produced suspicious errors. Diagnose in simulation, POC, or production by collecting bounded ev Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. Use for irregular or spatial queries, particle or geometry simulation, branch-heavy loops, many small launches, host fallbacks, or large intermediates. CPU-only code and absent GPU
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