AI Agent Skills

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.

Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop",…

Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Task scheduling library for Python

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…

Heterogeneous GPU Sharing on Kubernetes

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