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alexandercheema

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Kimi K2.5 on 2 Mac Studios (<$20K) running at 24 TPS

twitter.com
6 points·by alexandercheema·5 miesięcy temu·4 comments

Clustering Nvidia DGX Spark and M3 Ultra Mac Studio for 4x Faster LLM Inference

twitter.com
8 points·by alexandercheema·9 miesięcy temu·1 comments

Clustering Nvidia DGX Spark and M3 Ultra Mac Studio for 4x Faster LLM Inference

blog.exolabs.net
5 points·by alexandercheema·9 miesięcy temu·0 comments

comments

alexandercheema
·3 miesiące temu·discuss
lol bro there is already a big OSS project called exo: https://github.com/exo-explore/exo
alexandercheema
·5 miesięcy temu·discuss
Isn't Claude Code for Infrastructure just...Claude Code?
alexandercheema
·5 miesięcy temu·discuss
Is there one for Kimi K2.5?
alexandercheema
·9 miesięcy temu·discuss
Appreciate you checking back so often. We have some exciting plans. Keep checking and it won't be long before something pops up :)
alexandercheema
·9 miesięcy temu·discuss
Yes, these models are mostly compute-bound so benefit even more from the compute on the DGX Spark.
alexandercheema
·9 miesięcy temu·discuss
Blog author here. Actually, no. The model can be streamed into the DGX Spark, so we can run prefill of models much larger than 128GB (e.g. DeepSeek R1) on the DGX Spark. This feature is coming to EXO 1.0 which will be open-sourced soonTM.