Google stellt Open-Source-Microbenchmarks für TPUs vor, um Hardware-Engpässe an HBM, Network und Attention zu isolieren. Diese Granularität ist essenziell, um Inference-Kosten und Roofline-Modelle realistisch zu berechnen.https://developers.googleblog.com/how-to-use-google-microbenchmarks-for-evaluating-tpu-performance/#KI #AI #LLM #AISyndicate
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