The Inference Hardware You Already Own Might Train Models Too: A 325M Pretraining Run on an NPU
This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.
Disclosure: the work described here is by VIDRAFT, an affiliate of Ginigen AI. TL;DR Edge and on-premise deployments usually split hardware into two worlds: GPUs to train, cheaper accelerators to serve. A new result from VIDRAFT narrows that split. They pretrained a 325M parameter language model fr…
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- 2026-10-26 05:53 · DEV Community — Machine Learning
The Inference Hardware You Already Own Might Train Models Too: A 325M Pretraining Run on an NPU