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Meta and Apple Partner to Run Muse Spark Open Locally on Mac Studio Desktops

Published
Score
14

Why it matters

Meta has released the weights for Muse Spark Open, an 816-billion-parameter open-weight model, and worked with Apple to make it run on linked Mac Studio computers. The model has 42 billion parameters active at any one time, according to Meta. Developers need Macs with at least one terabyte of combined memory, linked across two to four machines. Apple updated its MLX machine-learning framework to support the model, and Meta says two Mac Studios then function like one supercomputer with a terabyte of unified memory. The weights are available on Hugging Face, Amazon SageMaker AI and Google Cloud Model Garden, under the Muse Model License, which Meta describes as having limited commercial terms. Mark Zuckerberg announced the release on X, crediting Apple CEO John Ternus, who replied with his own congratulations. Alexandr Wang, Meta's chief AI officer, said most strong open-weight models are too large for personal computers, while Mac Studio has enough memory to run this one.

The terms of the license's commercial restrictions have not been published in full in the material available, so their practical scope remains unclear. Wang told Axios the two companies had worked together for several months. No government agencies or legislation have been tied to the announcement.

The deal is notable because the two companies have been rivals for years, and CNBC reported it is their first public partnership since 2017. For attorneys, the practical questions are the license terms, which will determine what businesses can build commercially on the model, and data handling: Meta says it cannot see users' prompts when the model runs locally, which matters for clients weighing privacy and confidentiality obligations. Local deployment also shifts data away from cloud providers, a trend worth tracking in contract and vendor reviews. The hardware is costly, with a 256GB M5 Ultra Mac Studio priced at no less than $10,799, so the near-term users are developers, researchers and businesses rather than typical Mac buyers.

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