Skip
8.1k
FareedKhan-dev/kimi-k3-in-c
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.
—
—
Explore 5 GitHub repositories focused on simd. Discover top-starred projects and those trending this week.
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.
A vector index built on TurboQuant, written in Rust with Python bindings
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Zero-copy PDF text extraction library written in Zig. High-performance, memory-mapped parsing with SIMD acceleration.
Rust crypto w/ zero default deps: BLAKE3, Ed25519/X25519, hashes, MACs, KDFs, AEADs, and checksums w/ full SIMD/ASM acceleration
A vector index built on TurboQuant, written in Rust with Python bindings
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.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Zero-copy PDF text extraction library written in Zig. High-performance, memory-mapped parsing with SIMD acceleration.
Rust crypto w/ zero default deps: BLAKE3, Ed25519/X25519, hashes, MACs, KDFs, AEADs, and checksums w/ full SIMD/ASM acceleration