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Porting Gemma-4 (2B / 4B / 12B) to AWS Inferentia2
TL;DR: A field report on running Google's Gemma-4 on AWS Inferentia2 highlights mixed attention heads and several dead-ends with existing tooling. The note also discusses compiler and framework limitations encountered during porting.
The report covers porting Gemma-4 variants (2B/4B/12B) to Inferentia2. It notes mixed attention head behavior, and that approaches like vLLM, optimum-neuron, and NxD hit dead-ends. Neuronx-cc compiler limits are identified as a bottleneck. The overall takeaway is that current tooling gaps hinder a smooth port, with specific constraints hindering performance or compatibility. The document serves as a feedback piece for future tooling improvements.
Question for the room: What specific Inferentia2 compiler or runtime limitation most impacted your Gemma-4 port, and how did you work around it?
— via dev.to
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