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The document discusses challenges and research directions for improving Large Language Model (LLM) inference hardware, highlighting four key opportunities: High Bandwidth Flash, Processing-Near-Memory, 3D memory-logic stacking, and low-latency interconnects. It emphasizes the growing demand for efficient inference solutions due to the increasing complexity of LLMs and their resource requirements. The authors propose innovative approaches to address memory capacity, bandwidth, and latency issues critical for
- Author
- jammer887987241
- Language
- EN