M100 is a tensor-based dataflow architecture that eliminates heavy caching through compiler-managed data streams, claiming higher utilization and better performance than GPGPUs for AD and LLM inference tasks.
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M100: An Orchestrated Dataflow Architecture Powering General AI Computing
M100 is a tensor-based dataflow architecture that eliminates heavy caching through compiler-managed data streams, claiming higher utilization and better performance than GPGPUs for AD and LLM inference tasks.