#nvidia

CUDA Graphable Neural Networks for NVIDIA Warp

vgpu.rs is the fractional GPU & vgpu-hypervisor implementation written in Rust

Free AI coding & pentesting agent for your terminal

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

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Speaker diarization in Rust with pyannote-level accuracy. 900–1940x realtime on NVIDIA GPUs, 430–910x on Apple Silicon.

Safe rust wrapper around CUDA toolkit

Vendor-neutral, Kubernetes-native GPU/accelerator hardware acceptance testing (burn-in). Standalone; integrates via BurnInSink.

Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration — recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr

NVIDIA PhysX SDK

CUDA driver API in pure Go, no cgo: loads libcuda at runtime, embeds PTX, JIT-compiles through the driver

The fastest .NET tensor library. Beats MathNet (6x), NumSharp (3200x), matches TorchSharp CPU - pure managed C# with hand-tuned AVX2/FMA SIMD kernels. Optional CUDA/OpenCL GPU acceleration.

Vulkan ray tracing glTF 2.0 renderer — RTX path tracer with PBR materials, AI denoising (DLSS, OptiX), and scene editing. NVIDIA open-source sample.

Simulate GPU clusters on Kubernetes. Test GPU-aware schedulers, autoscalers and platform tooling with zero GPU hardware.

Your adaptive AI agent for your work.