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Both training and inference can happen in the house

Building the Super Cloud of GPUs with Akash Founder Greg Osuri | EP #102 (Frictionless Podcast by Logan Jastremski)

“I think both can be done in the house without leaving.” — 00:47:34

Context: Answering whether training stays in datacenters while inference goes local; he cites LoRA fine-tuning of foundation models as already feasible on Akash with private weights.

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