AIInfoQabout 2 hours ago
Engineer Explains KV Cache Efficiency
18 min read
Khawaja Shams, a former AWS DynamoDB engineer and Momento co-founder, presents findings on Large Language Model inference. He details how a 4 billion parameter model generates 72 kilobytes per token. The speaker notes that while prefilling is compute bound, decoding relies heavily on memory bandwidth.
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