But a $500 Mac Mini has nowhere near the memory capacity to run such a model. You'd need at least 2 512GB machines chained together to run this model. Maybe 1 if you quantized the crap out of it.

And Apple completely overcharges for memory, so.

This is a model you use via a cheap API provider like DeepInfra, or get on their coding plan. It's nice that it will be available as open weights, but not practical for mere mortals to run.

But I can see a large corporation that wants to avoid sending code offsite setting up their own private infra to host it.

The needed memory capacity depends on active parameters (not the same as total with a MoE model) and context length for the purpose of KV caching. Even then the KV cache can be pushed to system RAM and even farther out to swap, since writes to it are small (just one KV vector per token).