Meta and Apple have partnered to enable the Muse Spark Open AI model to run locally on Apple’s high-end Mac Studio desktop computers.

Key facts
- •Muse Spark Open is an 816-billion-parameter model utilizing a mixture-of-experts architecture.
- •The model is designed to run locally on Mac Studio hardware using Apple's MLX framework.
- •Meta claims Muse Spark Open is the most capable open-weight model released to date for limited commercial use.
- •Apple and Meta previously experienced significant friction following Apple's 2021 privacy changes, which Meta estimated cost it $10 billion in 2022 revenue.
- •Meta AI chief Alexandr Wang stated that the Mac Studio's memory capacity makes running such large models practical for users.
Meta has released Muse Spark Open, an 816-billion-parameter open-weight AI model, in collaboration with Apple. The partnership allows developers to run the model locally on Mac Studio computers using Apple’s MLX framework. This development marks a shift in the relationship between the two companies, which have historically been rivals in the technology sector.
By the numbers
Technical Capabilities and Hardware Requirements
Meta describes Muse Spark Open as a natively multimodal model that excels at complex software engineering, long-horizon tasks, and multi-step reasoning. Built with a mixture-of-experts architecture, the model is designed to run locally rather than in the cloud, which the companies state provides increased security and cost savings for users. To operate the model, developers can pair between two and four Mac Studio PCs, utilizing the memory capacity provided by Apple Silicon.
Strategic Collaboration Between Rivals
The project follows months of collaboration between Meta and Apple, a partnership that contrasts with years of public tension between the two firms. Meta CEO Mark Zuckerberg and Apple CEO John Ternus publicly acknowledged the joint effort on social media, with Ternus noting the efficiency of running a model of this scale on a desktop. While the companies are working together on this AI integration, representatives declined to comment on whether this project signals a broader, long-term partnership.
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This article was independently rewritten by ManyPress editorial AI from reporting originally published by The Verge AI, CNBC Technology.
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