A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
MMseqs2: ultra fast and sensitive search and clustering suite
Library for specialized dense and sparse matrix operations, and deep learning primitives.
legacy sound blaster emulation for DOS
BLAS-like Library Instantiation Software Framework
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types β from 6-bit floats to 64-bit complex β across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go π
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
CUDA on an Apple Silicon Mac over Thunderbolt with no NVIDIA driver: a C userspace NVIDIA driver (libtinynv) plus cudart/cublas shims running unmodified llama.cpp and stable-diffusion.cpp on an RTX 5090 eGPU