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Tiered KV cache for large LLMs on Amazon SageMaker HyperPod with Curvine | Amazon Web Services
Running large language model (LLM) inference at scale typically forces a KV cache trade-off: you either pay for oversized GPU instances to accommodate a growing KV cache, or you accept slow time-to-first-token (TTFT) as identical prompts get recomputed on every request. For teams deploying a broad catalog of publicly available