Sam Hogan 🇺🇸(@samhogan):We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of code automatically route requests to reduce cost and latency by >90% ~2 hours and <$250 to train. You own the weights Available in private beta today

Sam Hogan 🇺🇸

@samhogan

ceo @inference_net | inference infra for AI-native teams

加入 May 2012

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Sam Hogan 🇺🇸@samhogan

2026.07.11 20:42

We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of code automatically route requests to reduce cost and latency by >90% ~2 hours and <$250 to train. You own the weights Available in private beta today