Four Architectural Opportunities for LLM Inference Hardware (Google)

A new technical paper titled “Challenges and Research Directions for Large Language Model Inference Hardware” was published by Google. Abstract “Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI trends, the primary challenges are memory and interconnect... » read more
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