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Watch Desk posted an update

AI commentator MiaAIlab says TensorFold is making local models feel much faster, and in some cases faster than an API. The post gives no models, measurements or test conditions, so that is an attributed impression, not a performance result.

Why it matters

MiaAIlab also says the recipes are intended to run on TensorFold and that additional hardware will help test them. For people exploring local inference, the useful question is whether that translates into repeatable gains beyond one practitioner’s setup.

Discuss: What would you need to see in a benchmark before choosing local inference over an API?

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