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Unum Сloud

One hardware-friendly AI stack for IO-bound workloads.

Unum Cloud: one hardware-friendly AI stack for IO-bound workloads

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Unum builds search, storage, networking & multimodal engines from the hardware up. They keep data in RAM, VRAM or on NVMe, run on x86, Arm & RISC-V CPUs and NVIDIA, AMD & Apple GPUs, and ship stable C ABIs with bindings for over a dozen languages.

  • USearch: one proximity graph for vectors, sequences, shapes & geospatial sets.
  • UStore: transactional database for blobs, documents & graphs on NVMe & GPUs.
  • UCall: low-latency client-server engine on io_uring, Noise encryption & SIMD.
  • UForm: distributed training & inference for multimodal shared embeddings.

Underneath sit four kernel libraries: StringZilla for strings, NumKong for mixed-precision math, ForkUnion for NUMA-aware parallelism, and SmashTable for transactional containers. The same stack, adapted to scientific & scholarly computing, lives in Unum Science.

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  1. USearch USearch Public

    One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍

    C++ 4.4k 375

  2. UCall UCall Public

    Low-latency client-server engine built around Noise, io_uring & SIMD, with synchronous handlers, server-side batching, and C, C++, Python & Rust bindings ☎️

    C++ 1.3k 52

  3. UForm UForm Public

    Distributed training & inference for multimodal perception: shared embeddings across text, images, video, audio, code & graphs from 64 to 1024 dimensions 🖼️

    Cuda 1.3k 76

  4. UStore UStore Public

    Embedded transactional database for blobs, documents & graphs, with kernel-bypass NVMe through io_uring & SPDK, GPU compaction, and one C ABI over its own, RocksDB & LevelDB engines 🗄️

    C++ 649 35

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