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Gemma 4 on a Tesla T4: QAT Weights Decode 1.79x Faster Than bf16

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

This article provides a step by step deployment guide for **Gemma 4 E2B * to a Tesla T4 hosted GPU enabled system. A suite of Python MCP tools is built to simplify management of the vLLM hosted deployment. The T4 is already attached to the Compute Engine VM the tools run on, so there is nothing to…

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  1. 2026-09-18 21:48 · DEV Community — Machine Learning
    Gemma 4 on a Tesla T4: QAT Weights Decode 1.79x Faster Than bf16

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