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macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt

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

#21
This implies you'd run more than one Mac Studio in a cluster, and I have a few concerns regarding Mac clustering (as someone who's managed a number of tiny clusters, with various hardware):

1. The power button is in an awkward location, meaning rackmounting them (either 10" or 19" rack) is a bit cumbersome (at best)

2. Thunderbolt is great for peripherals, but as a semi-permanent interconnect, I have worries over the port's physical stability... wish they made a Mac with QSFP :)

3. Cabling will be important, as I've had tons of issues with TB4 and TB5 devices with anything but the most expensive Cable Matters and Apple cables I've tested (and even then...)

4. macOS remote management is not nearly as efficient as Linux, at least if you're using open source / built-in tooling

To that last point, I've been trying to figure out a way to, for example, upgrade to macOS 26.2 from 26.1 remotely, without a GUI, but it looks like you _have_ to use something like Screen Sharing or an IP KVM to log into the UI, to click the right buttons to initiate the upgrade.

Trying "sudo softwareupdate -i -a" will install minor updates, but not full OS upgrades, at least AFAICT.

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

#22
post #13
post #6

Earlier quoted context omitted.

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

MacOS does wash out SDR content in HDR mode specifically on non-Apple monitors. An HDR video playing in windowed mode will look fine but all the UI around it has black and white levels very close to grey. Edit: to be clear, macOS itself (Cocoa elements) is all SDR content and thus washed out.

Huh, so that’s why HDR looks like shit on my Mac Studio.

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

#23

This implies you'd run more than one Mac Studio in a cluster, and I have a few concerns regarding Mac clustering (as someone who's managed a number of tiny clusters, with various hardware): 1. The power button is in an awkward location, meaning rackmounting them (either 10" or 19" rack) is a bit cumbersome (at best) 2. Thunderbolt is great for peripherals, but as a semi-permanent interconnect, I have worries over the…

I have no experience with this, but for what it's worth, looks like there's a rack mounting enclosure available which mechanically extends the power switch: https://www.sonnetstore.com/products/rackmac-studio

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

#24
post #13

Earlier quoted context omitted.

MacOS does wash out SDR content in HDR mode specifically on non-Apple monitors. An HDR video playing in windowed mode will look fine but all the UI around it has black and white levels very close to grey. Edit: to be clear, macOS itself (Cocoa elements) is all SDR content and thus washed out.

That's intended behavior for monitor limited in peak brightness

I don't think so. Windows 11 has a HDR calibration utility that allows you to adjust brightness and HDR and it maintains blacks being perfectly black (especially with my OLED). When I enable HDR on macOS whatever settings I try, including adjusting brightness and contrast on the monitor the blacks look completely washed out and grey. HDR DOES seem to work correctly on macOS but only if you use Mac displays.

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

#25

This implies you'd run more than one Mac Studio in a cluster, and I have a few concerns regarding Mac clustering (as someone who's managed a number of tiny clusters, with various hardware): 1. The power button is in an awkward location, meaning rackmounting them (either 10" or 19" rack) is a bit cumbersome (at best) 2. Thunderbolt is great for peripherals, but as a semi-permanent interconnect, I have worries over the…

For #2, OWC puts a screw hole above their dock's thunderbolt ports so that you can attach a stabilizer around the cord

https://www.owc.com/solutions/thunderbolt-dock

It's a poor imitation of old ports that had screws on the cables, but should help reduce inadvertent port stress.

The screw only works with limited devices (ie not the Mac Studio end of the cord) but it can also be adhesive mounted.

https://eshop.macsales.com/item/OWC/CLINGON1PK/

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

#27
post #13

Earlier quoted context omitted.

MacOS does wash out SDR content in HDR mode specifically on non-Apple monitors. An HDR video playing in windowed mode will look fine but all the UI around it has black and white levels very close to grey. Edit: to be clear, macOS itself (Cocoa elements) is all SDR content and thus washed out.

That's intended behavior for monitor limited in peak brightness

That’s the statement I found last time I went down this rabbit hole, that they don’t have physical brightness info for third-party displays so it just can’t be done any better. But I don’t understand how this can lead to making the black point terrible. Black should be the one color every emissive colorspace agrees on.

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

#29
post #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/…

For a bit more context, those posts are using pipeline parallelism. For N machines put the first L/N layers on machine 1, next L/N layers on machine 2, etc. With pipeline parallelism you don't get a speedup over one machine - it just buys you the ability to use larger models than you can fit on a single machine.

The release in Tahoe 26.2 will enable us to do fast tensor parallelism in MLX. Each layer of the model is sharded across all machines. With this type of parallelism you can get close to N-times faster for N machines. The main challenge is latency since you have to do much more frequent communication.

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

#30
post #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/…

I’m hoping this isn’t as attractive as it sounds for non-hobbyists because the performance won’t scale well to parallel workloads or even context processing, where parallelism can be better used.

Hopefully this makes it really nice for people that want the experiment with LLMs and have a local model but means well funded companies won’t have any reason to grab them all vs GPUs.

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