CUDA on non-NVIDIA GPUs
DeepSeek-V4.1-Flash-1017 (552B MoE) on 2x RTX 3090 + 128 GB RAM: Rust + CUDA engine and 2-bit quant. 30-37 tok/s decode.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
NVIDIA's CUDA platform for Rust. Host runtime crates plus Tile (cutile-rs) and SIMT (cuda-oxide) kernel programming models in idiomatic Rust.
Multi-platform high-performance compute language extension for Rust.
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
Safe rust wrapper around CUDA toolkit
Unified Rust framework for building, verifying, and testing web apps. Kernel-based architecture for Lean 4 verification and GPU acceleration. Built-in red-teaming tools for automated vulnerability detection.
Pure Rust + CUDA LLM inference engine β no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Pure Rust Inference Engine
Lossless AI compression: 33% less GPU memory, bit for bit.
Native Rust inference server for open models on NVIDIA and Apple Silicon. OpenAI- and Anthropic-compatible APIs, GGUF + safetensors + MLX, FP8/NVFP4/MXFP4/Q8/Q4, built-in Studio
A model-agnostic GPU runtime for shipping models as verified programs.
PSSA: a non-transformer language model written from scratch in Rust. Recurrent state-space layer, episodic memory, self-modifying weights, CUDA training, and a full terminal dashboard.
A high-performance, GGUF-native Rust & CUDA inference engine optimized for cold-start latency and real-time 'System 1' agent decision loops.
Pure-Rust GGUF inference engine with quantized CPU, Metal & CUDA kernels, MoE support, OpenAI-compatible server. Benchmarked head-to-head against llama.cpp.
Deep learning for games. Cross-platform. No CUDA.
OpenAI-compatible speech serving in Rust: streaming TTS and full-duplex voice over GPT-Live. 128 concurrent PersonaPlex sessions on one GPU.
Hybrid GPU + CPU inference for mixture-of-experts models, written in Rust down to the CUDA kernels. A drop-in llama-server.
OpenAI-compatible inference server for Qwen3.8 on one RTX 5090 / RTX PRO 6000: the 27B at ~170 tok/s (peaks ~370), Flash-Next (125B MoE) at ~100 tok/s, built for local coding agents. Rust + CUDA, Windows and Linux.
Packet Language for On-device Warps β a GPU inference compiler and runtime
https://shuqi2077.github.io/RUDA/ Rust Full GPU computing stack