Open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. 2x faster than Ollama. Works on Apple Silicon, NVIDIA, AMD, or just a CPU.
Hybrid GPU + CPU inference for mixture-of-experts models, written in Rust down to the CUDA kernels. A drop-in llama-server.
An Axum-based Rust web framework for building and verifying web apps with Lean 4, featuring optional GPU acceleration and integrated development infrastructure for red-teaming and CI/CD.
Pure Rust + CUDA LLM inference engine β no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
A KernelSU module that provides alternative adb server over local network
A from-scratch, standalone implementation of the Zygisk Next module
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
A Rust-based, lightweight unikernel.
Safe rust wrapper around CUDA toolkit
Pure-Rust GGUF inference engine with quantized CPU, Metal & CUDA kernels, MoE support, OpenAI-compatible server. Benchmarked head-to-head against llama.cpp.
Instant MicroVMs/Unikernels for macOS and Linux