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Technology & AI The Verge • Oct 15, 2026

Meta and Apple Collaboration: Muse Spark Open AI Model Optimized for Dual Apple M5 Ultra Mac Studios

💡 Key Takeaways

•Meta launched the Muse Spark Open AI model, promoting it as its most capable US open-weight model to date.
•The model achieves native desktop execution by being optimized to run across dual Apple M5 Ultra Mac Studios using the MLX framework, stemming from a direct engineering collaboration between Meta and Apple.
•Meta CEO Mark Zuckerberg and Apple executive John Ternus publicly highlighted the cross-platform milestone on social media.

NEW DELHI [NCRBuzz Wire] — ### Meta and Apple Unveil Cross-Platform AI Optimization

**SAN FRANCISCO —** Meta has officially launched its new Muse Spark Open AI model, claiming the title of the most capable US open-weight model to date. Uniquely, the company announced that the model is the first in its class capable of running directly on desktop hardware via two Apple M5 Ultra Mac Studios leveraging the MLX framework.

### Strategic Hardware-Software Synergy

**The collaboration bridges a traditional divide** between historically competitive tech giants. Meta CEO Mark Zuckerberg highlighted on social media that the open weights released today function smoothly on new Mac Studios due to engineering work with Apple executives, including John Ternus, who publicly acknowledged the achievement in response.

### Implications for Local Inference

**By combining Meta's open-weight architecture** with Apple's specialized silicon and MLX developer framework, the initiative demonstrates a growing industry focus on pushing high-performance artificial intelligence inference directly onto local desktop hardware setups.

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🏛️ Background Context

This collaboration between historically competitive entities like Meta and Apple underscores a broader industry shift toward maximizing local developer frameworks, such as MLX, to run powerful generative AI models directly on high-end consumer and desktop hardware.

💡 Citizen & Commuter Quick Explainer (FAQ)

Q1: What hardware is required to run the Muse Spark AI model locally?

The model is optimized to run on desktop hardware utilizing two Apple M5 Ultra Mac Studios.

Q2: Which software framework enables this desktop deployment?

Apple's MLX framework was utilized in collaboration with Meta to achieve seamless execution on macOS.

Q3: What classification does Meta give to the Muse Spark model?

Meta claims Muse Spark is the most capable US open-weight model released to date.

Verified Wires: The Verge Original Wire Dispatch ↗

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