[GH-ISSUE #1379] Add docker_mlx_cpp — Metal GPU for Docker on Apple Silicon #6287

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GiteaMirror · 2026-04-24T01:01:18-05:00

GiteaMirror commented

2026-04-24 01:01:18 -05:00

Originally created by @ilessiorobotflowlabs on GitHub (Apr 1, 2026).
Original GitHub issue: https://github.com/veggiemonk/awesome-docker/issues/1379

Suggestion

Add docker_mlx_cpp — the NVIDIA Container Toolkit equivalent for Mac.

What it does

Gives any Docker container full Apple Silicon Metal GPU access. On Linux, you have nvidia-docker --gpus all. On Mac, docker_mlx_cpp fills that gap.

107 GPU operations (matmul, convolutions, attention, FFT, normalization, etc.)
LLM inference (50+ architectures)
Training (LoRA/QLoRA)
Image generation (FLUX)
Audio (Whisper STT, TTS)
OpenAI-compatible API

One-line install

curl -fsSL https://raw.githubusercontent.com/RobotFlow-Labs/docker_mlx_cpp/main/install.sh | bash

Category

Could fit under "GPU" or "Machine Learning" or "Apple Silicon" section.

MIT licensed. Tested on M1 through M5.

Originally created by @ilessiorobotflowlabs on GitHub (Apr 1, 2026). Original GitHub issue: https://github.com/veggiemonk/awesome-docker/issues/1379 ## Suggestion Add [docker_mlx_cpp](https://github.com/RobotFlow-Labs/docker_mlx_cpp) — the NVIDIA Container Toolkit equivalent for Mac. ### What it does Gives **any Docker container** full Apple Silicon Metal GPU access. On Linux, you have `nvidia-docker --gpus all`. On Mac, docker_mlx_cpp fills that gap. - 107 GPU operations (matmul, convolutions, attention, FFT, normalization, etc.) - LLM inference (50+ architectures) - Training (LoRA/QLoRA) - Image generation (FLUX) - Audio (Whisper STT, TTS) - OpenAI-compatible API ### One-line install ```bash curl -fsSL https://raw.githubusercontent.com/RobotFlow-Labs/docker_mlx_cpp/main/install.sh | bash ``` ### Category Could fit under "GPU" or "Machine Learning" or "Apple Silicon" section. MIT licensed. Tested on M1 through M5.

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Reference: github-starred/awesome-docker#6287