Apple Silicon

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  1. MLX: Apple's Machine Learning Framework for Apple Silicon

    For years, machine learning on Macs meant one of two things: running PyTorch or TensorFlow through Apple's Metal Performance Shaders backend, or...

    AI

  2. MLX-VLM: Vision Language Model Inference and Fine-Tuning on Apple Silicon

    Running Vision Language Models -- AI systems that can simultaneously understand images and text -- has traditionally required expensive NVIDIA GPUs...

    AI

  3. MLX-Audio: TTS, STT, and STS Library Optimized for Apple Silicon

    Apple Silicon Macs equipped with M-series chips -- from the M1 through the latest M4 Ultra -- pack extraordinary computational power, particularly...

    Multimedia

  4. MLX LM: LLM Inference and Fine-Tuning on Apple Silicon

    The promise of running LLMs locally on a MacBook has been seductive but incomplete. Ollama and llama.cpp made it possible, but performance left room...

    AI

  5. Apple Container: Open-Source Tool for Running Linux Containers as VMs on Mac

    For years, running Linux containers on macOS has required a VM layer -- Docker Desktop's Linux VM, Podman's podman-machine, or Lima's QEMU-based...

    Industry Trends

  6. PipeDream on the Acorn Archimedes： A Revelation of a Forgotten Computing Revolut

    BLUF: The combination of PipeDream and the Acorn Archimedes is not just nostalgia; it is a mirror reflecting how the contemporary computing industry has moved from closed …

    Industry Trends