Speeding Up LLM Inference Without Breaking the Bank

Tired of choosing between expensive GPU instances or sluggish response times? Amazon SageMaker HyperPod with Curvine solves this by creating a tiered KV cache that spills into a shared NVMe pool, letting your model replicas grab cached data at near-local speeds on cheaper hardware.