Meta and Apple's AI Partnership Demands Massive Mac Power

Meta has released its largest open-weight model yet, named Muse Spark Open, in an unexpected collaboration with Apple. According to TechCrunch and The Verge, the model boasts 816 billion parameters and a 1 million token context window, designed specifically to handle complex software engineering and multi-step reasoning.

While the partnership brings traditional rivals together to leverage Apple's MLX framework, running the AI locally comes with extreme hardware demands. Reports indicate you will need at least 1 terabyte of RAM, typically achieved by pairing two Apple M5 Ultra Mac Studios.

How to access and test the model

Because running Muse Spark Open locally requires enterprise-grade desktop hardware, most professionals will access it through alternative routes. Follow these steps to utilize the release:

• Check your local infrastructure if you manage dual M5 Ultra Mac Studios with the latest MLX framework.
• Access the model weights released by Meta through supported API platforms.
• Pair the system with specialized coding terminals like Muse Code for agentic software workflows.

Verdict: who should (and who shouldn't) use it

Muse Spark Open represents a massive leap for open-weight capabilities and local execution. However, the hardware barrier makes it impractical for standard office workstations.

Use it if: You manage heavy local development infrastructure and require privacy-first, high-end reasoning on Apple silicon.

Skip it if: You rely on standard consumer laptops, as the memory and processing requirements far exceed everyday desktop capacity.