AI Agent Skills

Heterogeneous GPU Sharing on Kubernetes

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

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

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

🔥 Real-time NVIDIA GPU dashboard

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

Open-source runtime for math. Write MATLAB syntax, run on CPU + GPU across platforms (Mac/Win/Linux/Web).

cuTAMP: Differentiable GPU-Parallelized Task and Motion Planning

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.