Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Hugging Face has hired Jun Kim, the creator of the oMLX library, to formalize support for the MLX framework within its ecosystem. This move signals a strategic commitment to optimizing Apple Silicon-based machine learning workflows.
Verified State Diff
Impact & Verification Analysis
Developers building machine learning applications for Apple Silicon (macOS/iOS) and users of the MLX framework.
It validates MLX as a first-class citizen in the AI development stack, ensuring that Apple hardware users receive native, optimized support for Hugging Face models without relying solely on third-party community patches.
Full Fact Overview
The hiring of Jun Kim represents a direct investment into the MLX ecosystem, an array of machine learning models and tools designed specifically for Apple Silicon by Apple's research team. By bringing the maintainer of oMLX—a library that extends MLX capabilities—in-house, Hugging Face is positioning itself to bridge the gap between Apple's hardware-specific optimizations and the broader Hugging Face model hub. This integration is expected to accelerate the deployment of quantized models and efficient inference pipelines on macOS and iOS devices.