Open source
Libraries, tools and repos: releases you depend on and projects gaining stars.
Faster Scientific Image Analysis with NVIDIA cuPhoton
Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can process it to support timely decisions.
ray-project/ray ray-2.59.0: Ray-2.59.0
Ray Data LLM & Ray Serve LLM are GA/Stable: the LLM APIs graduate to general availability this release (\#65194), alongside an upgrade to vLLM 0.27.0 (\#65351).
sergqwer/strata-nvfp4: Strata fork: Qwen3.8-Flash-Next 125B MoE in NVFP4 on one RTX 20-50 card (12 GB+) and 64 GB of RAM or more. Setup installs our GPTQ quants (h
Strata fork: Qwen3.8-Flash-Next 125B MoE in NVFP4 on one RTX 20-50 card (12 GB+) and 64 GB of RAM or more.
iwant
Find available GPUs and host open models in one command
How DOCA GPUNetIO Unifies GPU-Initiated Networking Across the NVIDIA Software Stack
GPU applications increasingly need networking and data movement to behave like first-class GPU-controlled operations rather than host-driven services.
AICR v1.0: Open, stable, and verifiable GPU cluster configuration
GPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU drivers,...GPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU drivers, container runtimes, networking, storage, operators, and workload frameworks.
Control How Your GPU Shares Work with Green Contexts
Controlling how GPU resources are shared between them remains difficult.
HeyPi
Build and ship anything live, in-meetings