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New AI performance engineering repo covers transformer inference arithmetic
Wafer AI says the repo’s sixth installment uses Carol Chen’s approximate inference-cost model to examine computation, memory traffic and communication between GPUs.
TLDR
Wafer AI says it launched an AI performance engineering repo. Its sixth installment draws on Carol Chen’s model, whose examples use A100 GPUs, to examine serving choices for H200, B200 and B300 GPUs. The post recommends measuring how batching, memory use and communication affect throughput and latency.
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