# Unlock efficient model deployment: Simplified Inference Operator setup on Amazon SageMaker HyperPod

Canonical URL: https://www.traeai.com/articles/7c1891f7-5cd6-4226-8ca8-5adc34af0701
Original source: https://aws.amazon.com/blogs/architecture/unlock-efficient-model-deployment-simplified-inference-operator-setup-on-amazon-sagemaker-hyperpod/
Source name: AWS Architecture Blog
Content type: article
Language: 英文
Score: 8.0
Reading time: 10 分钟
Published: 2026-04-06T21:14:13+00:00
Tags: AWS SageMaker, Kubernetes, EKS, 大模型推理, MLOps

## Summary

AWS将SageMaker HyperPod推理控制器升级为原生EKS插件，提供一键安装、自动配置IAM与依赖组件及无缝升级能力，大幅简化K8s集群上的大模型推理部署与运维流程。

## Key Takeaways

- 推理控制器现作为EKS原生插件，支持控制台一键安装与自动依赖配置，免去手动编写Helm图表与复杂IAM设置。
- 提供Quick与Custom安装模式及CLI、Terraform多路径部署，兼顾开箱即用与现有资源复用。
- 集成标准化版本管理与热升级机制，结合动态扩缩容与TTFT等核心指标监控，提升推理服务稳定性。

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