Run large AI models on your own PC: Qwen3.8-Flash-Next on Strata's engine, and GLM 5.3 Flash, DeepSeek V4 Flash, LFM2.5, Qwen3.6, Ornith 1.5, Gemma 4, Tiel Coder and MiniCPM-V on a second engine written for PolyStrata. One-click install for Windows and Linux, OpenAI/Anthropic API on localhost.
CUDA GitHub Repositories (2026) · Open Source Tools
Discover the best CUDA open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
Runs openpilot's large driving model on Jetson Orin Nano, macOS, iOS, Android, CUDA laptops with only your Comma, and a USB3 cable
Write Java. Run on GPUs. Fast.
NumPy aware dynamic Python compiler using LLVM
High-performance GPU-accelerated signal processing and visualization framework that runs anywhere.
UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms
Open-source RAW photo processing and digital asset management software.
CUDA compiler and runtime for Apple Silicon
NVIDIA cuML: GPU-Accelerated Machine Learning
LLM speculative inference server for heterogeneous hardware & consumer GPUs
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability
llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx. Supports low memory (12gb) configs for 200k+ ctx
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Persist and reuse KV Cache to speedup your LLM.
High-Performance Rendering Framework on Stream Architectures
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.