AI Agent Skills

Heterogeneous GPU Sharing on Kubernetes

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

🔥 Real-time NVIDIA GPU dashboard

An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.

Solve puzzles. Learn CUDA.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

cuDF - GPU DataFrame Library

Kubernetes Virtualization API and runtime in order to define and manage virtual machines.

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

Puzzles for learning Triton

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

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Inte…

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends