{
    "author": null,
    "date_published": null,
    "dek": null,
    "direction": "ltr",
    "domain": "machinelearning.apple.com",
    "excerpt": "MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified…",
    "lead_image_url": null,
    "next_page_url": null,
    "rendered_pages": 1,
    "title": "Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio",
    "total_pages": 1,
    "url": "https://machinelearning.apple.com/research/mlx-distributed-inference",
    "word_count": 2466
}