Not even a cluster of Mac Pros could run a dense 5T parameter model with RDMA, to my knowledge.

SOTA models are reportedly MoE, not dense.

A 5T MoE model is still bottlenecked by streaming weights from SSD, in addition to compute bottlenecks during prefill and decode.

True but a cluster built on pipeline parallelism can naturally stream from multiple SSD's in parallel. That probably makes offload somewhat more effective. And you also have RAM caching available as a natural possibility.

You won't be RAM caching much of anything with experts that are 220b parameters worth of layers.