SageMaker HyperPod now supports Managed tiered KV cache and intelligent routing

This article announces new capabilities for Amazon SageMaker HyperPod that optimize LLM inference performance for long-context prompts and multi-turn conversations.

• Managed Tiered KV Cache intelligently caches and reuses computed attention values
• Intelligent Routing directs requests to instances with optimal cached data
• Delivers up to 40% latency reduction, 25% throughput improvement, and 25% cost savings
• Two-tier architecture combines local CPU memory with disaggregated cluster-wide storage
• Three routing strategies: prefix-aware, KV-aware, and round-robin for different workloads
• Built-in observability integration with Amazon Managed Grafana for performance monitoring
• Available in all regions where SageMaker HyperPod is currently available

These features reduce computational overhead for LLM inference by efficiently reusing cached key-value pairs, improving performance and cost-effectiveness for production applications.