This article gives a short background on Amazon SageMaker real-time endpoints, then measures Gemma 4 E2B's quantization-aware trained (QAT) checkpoint against the full-size bf16 release on the same NVIDIA L4 endpoint. A suite of Python MCP tools is built to simplify management of the vLLM hosted...
Source: [Dev.to](https://dev.to/aws-builders/gemma-4-on-amazon-sagemaker-qat-weights-decode-205x-faster-than-bf16-on-one-l4-318m)