Showing 2 open source projects for "inference engine"

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  • 1
    uzu

    uzu

    A high-performance inference engine for AI models

    uzu is a high-performance inference engine designed to run artificial intelligence models efficiently on Apple Silicon hardware. Written primarily in Rust and leveraging Apple’s Metal framework, the project focuses on maximizing performance when executing large language models and other AI workloads on devices such as Mac computers with M-series chips. The engine implements a hybrid architecture in which model layers can be executed either as custom GPU kernels or through Apple’s MPSGraph API, allowing it to balance performance and compatibility depending on the workload. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    mistral.rs

    mistral.rs

    Fast, flexible LLM inference

    mistral.rs is a fast and flexible LLM inference engine implemented in Rust, designed to run and serve modern language models with an emphasis on performance and practical deployment. It provides multiple entry points for developers, including a CLI for running models locally and an HTTP server that exposes an OpenAI-compatible API surface for easy integration with existing clients.
    Downloads: 7 This Week
    Last Update:
    See Project
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