Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
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Strata fork: Qwen3.8-Flash-Next 125B MoE in NVFP4 on one RTX 20-50 card (12 GB+) and 64 GB of RAM or more. Setup installs our GPTQ quants (huihui abliterated, OrcaRouter) from Hugging Face. CPU experts on AVX-512 or AVX2 (+AVX-VNNI), all experts in RAM from 92 GB, a low-RAM mode below, vision, W4A8 prompts. Windows / CUDA 13.
Pure-managed, SIMD-accelerated image codecs for .NET: JPEG, PNG, WebP, TIFF, GIF, JPEG 2000 and JBIG2, plus EXIF and ICC. No native dependencies, NativeAOT-compatible; the JPEG decoder beats libjpeg-turbo on our benchmark corpus.
Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension, LoongArch64, POWER. Part of Node.js, WebKit/Safari, Ladybird, Chromium, Cloudflare Workers, Ghostty and Bun.
Expressive Vector Engine - SIMD in C++ Goes Brrrr
A successor to the SIMD math library Unity.Mathematics, extending it to all C# numeric types while adding many new types and functions. Written entirely with hardware intrinsics, using Unity.Burst.
A few classes for extremely fast json parsing/serializing in modern C++. Possibly the fastest json parser in C++. Possibly the fastest json serializer in C++.