Amazon SageMaker Inference: 13 Launches in 2026 Reshaping AI Deployment

Amazon shipped 13 inference features, including tiered KV caching, disaggregated prefill and decode, capacity-aware instance pools, and inference recommendations, across managed endpoints and HyperPod Inference.

Managed endpoints offer a fully managed path for fast deployment without infrastructure management, while HyperPod Inference gives deeper control over clusters, scheduling, and advanced optimizations like disaggregated prefill and decode for high-density workloads.

They reduce latency and cost per token, making it easier to run Arabic or multilingual models in nearby cloud regions and supporting data-sovereignty requirements in government and enterprise sectors.

Yes, if they run large language models in production and face cost or latency pressure. Start by testing tiered KV caching and capacity-aware pools before scaling fully.