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Apple weighs AI server built on M8 Ultra chips, possibly with Nvidia NVLink Fusion

read original get Apple Mac Studio (M2 Ultra) → more articles
GoKawiil Brief

Apple is reportedly exploring an AI inference server using future M8 Ultra chips, in configurations of two or four chips, and is debating whether to use Nvidia's NVLink Fusion to link them instead of its own interconnect methods. Any product wouldn't ship before 2029 and could be canceled. The plan follows rising demand from AI firms like OpenAI and Anthropic, which have bought or rented large numbers of Mac mini and Mac Studio units for reinforcement-learning workloads.

Why It Matters

GoKawiil's interpretation of the reporting above, not reported fact.

This would be a major shift for Apple, which currently keeps its Private Cloud Compute server infrastructure exclusively for its own Apple Intelligence features and has turned down partners seeking access. Entering the commercial AI server market alongside Nvidia would put Apple in direct competition with established data-center hardware makers, leveraging demand it didn't originally target with its Mac lineup.

Key Takeaways
Worth a Look

Apple Mac Studio (M2 Ultra) — This article highlights how AI companies like OpenAI and Anthropic are already snapping up Mac Studio systems for demanding inference and reinforcement-learning workloads, showing just how capable Apple's high-end silicon is right now. If you're curious about the power behind Apple's rumored future AI servers, the current Mac Studio lets you experience that same Apple Silicon architecture today. It's a great pick for developers and enthusiasts wanting serious on-device compute without waiting for the M8 Ultra.

See Apple Mac Studio (M2 Ultra) on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.

Source: techspot.com — Skye Jacobs, 2026-09-17

Published there as: “Apple could return to the server market with M8 Ultra hardware and Nvidia networking”

Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.