Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

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

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

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

A lightweight 2D graphics library for modern GPUs, delivering high-performance text, image, and vector rendering across major platforms.

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

Postgres with GPUs for ML/AI apps.

GPUd automates monitoring, diagnostics, and issue identification for GPUs

Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs