Apple research has also posted information on the topic.

> In this post, we show how to run the latest frontier-class model — Muse Spark Open, with nearly a trillion parameters — right from your desk, using the latest version of MLX, released today. On a cluster of four Mac Studios, Muse Spark Open generates over 36 tokens per second

Beginning on a single Mac Studio (up to 512GB of unified memory), then scaling out across multiple Macs with the RDMA over Thunderbolt driver, below we share an overview of the range of models you can now run on Mac Studio.

https://machinelearning.apple.com/research/mlx-distributed-i...

day one support for all inference engines so that whichever kind of capable computer you have, you can run it. you do need a really capable computer though