Gemma 4 E2B on the two cheapest whole-GPU CUDA instances AWS sells. Same Turing GPU, different host CPU. One is cheaper per hour, the other is cheaper per token, and the reason is not the CPU.
This article provides a step by step deployment guide for Gemma 4 E2B onto the two cheapest
whole GPU CUDA instances AWS sells, and compares what they cost to run. A suite of Python MCP
tools is built to simplify management of the vLLM hosted deployment. Everything was measured on
What is this project trying to Do?
The question is simple: if you want a CUDA GPU on AWS as cheaply as possible, which one do you
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