CUDA on non-NVIDIA GPUs
- cuda
- rust
Repository Index
47,133 repositories indexed
1–18 of 18 · Most stars
CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
Optimized primitives for collective multi-GPU communication
- communications
- cpp
- cuda
- deep-learning
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Real-Time Rendering Framework
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
- vulkan
- vulkan-compute
- vulkan-example
- vulkan-tutorial
cuGraph - RAPIDS Graph Analytics Library
USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling
ILGPU JIT Compiler for high-performance .Net GPU programs
An efficient C++20 GPU numerical computing library with Python-like syntax
AssetFurnace: the most complete open-source image-to-3D pipeline (Oct 2026). Prompt or picture → textured, rigged, animated game character, locally on Apple Silicon or NVIDIA. Pixal3D, TRELLIS.2, Hunyuan3D, SF3D, auto-rig and 21 moves. For indie game devs and 3D artists. Free, Apache-2.0.
- 3d-generation
- 3d-models
- apple-silicon
- blender
eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
- gpu
- exascale
- cfd
- fortran
A Rust port of NVIDIA's SMLib B-rep kernel (CAD subset): safe, deterministic, wasm-compatible
Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how that access is handed off.
Awesome D3D12 ecosystem
- direct3d
- microsoft
- nvidia
- amd
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop