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

Solve puzzles. Learn CUDA.

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

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

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.

NVIDIA device plugin for Kubernetes

AI agent skills published by NVIDIA

Puzzles for learning Triton

Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the…

Cosmos-Transfer2.5, built on top of Cosmos-Predict2.5, produces high-quality world simulations conditioned on multiple spatial control inputs.

This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

rapids-singlecell: GPU-accelerated framework for scRNA analysis

Run Keras models in the browser, with GPU support using WebGL

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/