SageMaker HyperPod
3 articles tagged with SageMaker HyperPod
AWS Adds Model Caching to SageMaker HyperPod, Cuts Inference Cold Starts from 30 Minutes to Seconds
AWS has launched model caching for Amazon SageMaker Inference on HyperPod, pre-loading model weights and container images onto cluster nodes to cut inference pod startup times from tens of minutes to seconds. The feature targets large models like DeepSeek-R1, which previously took 30+ minutes to become servable during scale-out events.
Moonshot AI Releases Kimi K3, a 2.8 Trillion Parameter Open-Weight Model; AWS Publishes Deployment Guide
Moonshot AI released Kimi K3 on July 27, 2026, a 2.8 trillion parameter Mixture-of-Experts model with a 1 million token context window and native multimodal support. AWS has published a deployment guide covering SageMaker HyperPod and Amazon EKS using ml.p6-b300.48xlarge instances with 8 NVIDIA B300 Blackwell Ultra GPUs.
AWS Ships Multi-Turn RL Infrastructure for Amazon Nova on SageMaker HyperPod
AWS has released infrastructure for deploying multi-turn reinforcement learning to train Amazon Nova models on SageMaker HyperPod. The system requires a minimum of 10 ml.p5.48xlarge instances and costs approximately $786-$1,180 per hour when running.