AI Agent Skills

NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

🔥 Real-time NVIDIA GPU dashboard

Deep learned, NVIDIA-accelerated 3D object pose estimation

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…

Solve puzzles. Learn CUDA.

Run agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference

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

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic…

CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.

cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.

The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.