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NVIDIA
Build NVIDIA-powered workflows across GPU acceleration, CUDA, AI inference, robotics, Omniverse USD scenes, and Physical AI — from setup and validation to deployment and optimization on Docker, Kubernetes, or Azure.
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Skills11
aiq-deploy
/aiq-deploy
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
aiq-research
/aiq-research
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
cuopt-user-rules
/cuopt-user-rules
Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.
dynamo-interconnect-check
/dynamo-interconnect-check
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.
dynamo-router-starter
/dynamo-router-starter
Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
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Version1.0.0
LanguagePython
Stars1,281
Forks160
MaintenanceExcellent
LicenseApache-2.0 AND CC-BY-4.0
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