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

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

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environm…