Meta and Apple collaborate to run Muse Spark Open on Mac Studio

By Splitfeed EditorialLast updated Oct 18, 2026, 14:00 UTC

On October 15, 2026, Meta and Apple announced a formal collaboration to run Meta's Muse Spark Open model on Apple Mac Studio hardware equipped with the M5 Ultra chip. The partnership was reported across several outlets on that date, with a follow-up piece on October 17 highlighting a specific deployment configuration: two Mac Studio units running the model together at a combined cost of $21,000. Muse Spark Open is described as an agentic AI model, meaning it is designed to take sequences of actions or complete multi-step tasks with some degree of autonomy, rather than simply generating single responses.

The significance of this collaboration extends beyond a product announcement. Nvidia has long held a dominant position in the hardware used to run large AI models, and Apple silicon has generally been viewed as competitive for consumer tasks but not as a serious alternative for demanding AI workloads. This partnership is being framed, at least by some outlets, as a direct challenge to that hierarchy. The genuine dispute is whether Apple's M5 Ultra, in a dual-unit configuration, can deliver performance and economics that make it a credible substitute for Nvidia GPUs in practice, or whether the $21,000 price point and the constraints of consumer hardware leave it far short of what serious AI deployments require.

None of the three camps have published reactions to this story yet. The Pro-AI camp would typically welcome the development as evidence that powerful AI is becoming more accessible outside of data center infrastructure, lowering barriers for individuals and smaller organizations. The Anti-AI camp would likely raise concerns about agentic AI capabilities becoming easier to deploy locally, with less oversight and fewer institutional guardrails. The Middle Ground camp would probably focus on the cost and performance tradeoffs, asking whether $21,000 for a two-machine setup is genuinely democratizing or still out of reach for most users, and whether Apple's ecosystem introduces its own dependencies.

The argument over Apple silicon as an AI compute platform will sharpen as independent benchmarks comparing the dual Mac Studio configuration against Nvidia GPU equivalents become available. Performance figures on agentic workloads specifically, rather than standard model inference tests, would be the most meaningful data point to watch for in the weeks following this announcement.