Live data from Hacker News

macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt

developer.apple.com

1–10 of 304 posts

Re: macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt

#3
I follow the MLX team on Twitter and they sometimes post about using MLX on two or more joined together Macs to run models that need more than 512GB of RAM.

A couple of examples:

Kimi K2 Thinking (1 trillion parameters): https://x.com/awnihannun/status/1986601104130646266

DeepSeek R1 (671B): https://x.com/awnihannun/status/1881915166922863045 - that one came with setup instructions in a Gist: https://gist.github.com/awni/ec071fd27940698edd14a4191855bba...

Re: macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt

#6

Can we get proper HDR support first in macOS? If I enable HDR on my LG OLED monitor it looks completely washed out and blacks are grey. Windows 11 HDR works fine.

Really? I thought it's always been that HDR was notorious on Windows, hopeless on Linux, and only really worked in a plug-and-play manner on Mac, unless your display has an incorrect profile or something/

https://www.youtube.com/shorts/sx9TUNv80RE

Re: macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt

#9
It would be incredibly ironic if, with Apple's relatively stable supply chain relative to the chaos of the RAM market these days (projected to last for years), Apple compute became known as a cost-effective way to build medium-sized clusters for inference.
Post reply on HN