2023
$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput
NeurIPS 2023poster
Generating texts with a large language model (LLM) consumes massive amounts of memory. Apart from the already-large model parameters, the key/value (KV) cache that holds information about previous tokens in a sequence can grow to be even larger than the model itself. This problem is exacerbated in o…