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Comment by RationPhantoms | Hacker News Reader

Thank you for this. I wish Apple focused their silicon design on improving the TTFT metrics but coming from an M3 Pro, it still looks laggard compared to Nvidia's TensorCores in the 5090.

Maybe Apple is an acquisition away from changing that balance.

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The rumor on Apple's processor roadmap is that they're skipping other M6 variations (all previous generations had Pro and Max, a few had Ultra) in order to focus on the M7 generation for AI reasons. What exactly the M7 improvements are who knows.

https://www.macrumors.com/2026/06/25/2027-macs-m7-chips/

I think that comes down to TSMC. Nvidia apparently booked out the whole A18 or 16 node. Apple is on 2nm right now and M7 will jump right to A14. According to my quick AI research anyway.

That sounds a lot like AI fantasy slop.

Apple just shifted to N2. They’re not going to be doing another major shift right away.

And TSMCs own roadmap would put your hallucination years away at best for a a product that follows a roughly annual cadence https://www.tomshardware.com/tech-industry/semiconductors/ts...

Yeah, Apple has spent 3 years each on the 5nm and 3nm nodes with TSMC. There are some reports [1] that it will jump to 1.4nm after 2 years due to AI but there's no real proof. The source is Digitimes who are frequently wrong with their predictions and rumors.

[1] https://wccftech.com/apple-to-move-to-1-4nm-process-soon-to-...

> What exactly the M7 improvements are who knows.

> Apple's planned M7 Ultra chip is being designed to support up to 1.5 TB of unified memory and to push AI performance toward the class of Nvidia's Blackwell accelerators

https://www.tomshardware.com/tech-industry/semiconductors/ap...

M6 got another prompt processing boost. Likely no M6 Ultra though because Apple is reportedly going all in on AI performance in M7 generation.

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