←back to thread

MCP in LM Studio

(lmstudio.ai)
227 points yags | 2 comments | | HN request time: 0.408s | source
Show context
chisleu ◴[] No.44380098[source]
Just ordered a $12k mac studio w/ 512GB of integrated RAM.

Can't wait for it to arrive and crank up LM Studio. It's literally the first install. I'm going to download it with safari.

LM Studio is newish, and it's not a perfect interface yet, but it's fantastic at what it does which is bring local LLMs to the masses w/o them having to know much.

There is another project that people should be aware of: https://github.com/exo-explore/exo

Exo is this radically cool tool that automatically clusters all hosts on your network running Exo and uses their combined GPUs for increased throughput.

Like HPC environments, you are going to need ultra fast interconnects, but it's just IP based.

replies(14): >>44380196 #>>44380217 #>>44380386 #>>44380596 #>>44380626 #>>44380956 #>>44381072 #>>44381075 #>>44381174 #>>44381177 #>>44381267 #>>44385069 #>>44386056 #>>44387384 #
zackify ◴[] No.44381177[source]
I love LM studio but I’d never waste 12k like that. The memory bandwidth is too low trust me.

Get the RTX Pro 6000 for 8.5k with double the bandwidth. It will be way better

replies(5): >>44382823 #>>44382833 #>>44383071 #>>44386064 #>>44387179 #
1. smcleod ◴[] No.44387179[source]
RTX is nice, but it's memory limited and requires to have a full desktop machine to run it in. I'd take slower inference (as long as it's not less than 15tk/s) for more memory any day!
replies(1): >>44388281 #
2. diggan ◴[] No.44388281[source]
I'd love to see more Very-Large-Memory Mac Studio benchmarks for prompt processing and inference. The few benchmarks I've seem either missed to take prompt processing into account, didn't share exact weights+setup that were used or showed really abysmal performance.