Porting Gemma-4 to AWS Inferentia2: Technical Challenges and Limitations

Field report on adapting Google's Gemma-4 models (2B/4B/12B) for AWS Inferentia2 chips, highlighting mixed attention head constraints.

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The fact

Failures with vLLM, optimum-neuron, and NxD tools, alongside limitations of the neuronx-cc compiler.

Technical challenges in optimizing LLM inference on AWS's specialized hardware infrastructure.

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