Yeah, Exo was one of the first things to do - MacStudio has a decent throughput at the level of 3080, great for token generation and Sparks have decent compute, either for prefill or for running non-LLM models that need compute (segment anything, stable diffusion etc). RTX 6000 Pro just crushes them all (it's essentially like having 4x3090 in a single GPU). I bought 2 sparks to also play with Nvidia's networking stack and learn their ecosystem though they are a bit of a mixed bag as they don't expose some Blackwell-specific features that make a difference. I bought it all to be able to run local agents (I write AI agents for living) and develop my own ideas fully. Also I was wrapping up grad studies at Stanford so they came handy for some projects there. I bought it all out of pocket but can amortize them in taxes.

Very cool - thanks for the info.

That you are writing AI agents for a living is fascinating to hear. We aren't even really looking at how to use agents internally yet. I think local agents are incredibly off the radar at my org despite some really good additions as supplement resources for internal apps.

What's deployment look like for your agents? You're clearly exploring a lot of different approaches . . .