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Deploying Kimi K3 on AWS

This post walks through deploying Kimi K3 on AWS using two approaches: Amazon SageMaker HyperPod, and Amazon Elastic Kubernetes Service (Amazon EKS) cluster.

Why It Matters

Moonshot AI releasing Kimi K3 represents the largest open-weights deployment to date, closing the capability gap with Western closed-source labs.

Implications

  • Allows researchers and global developers to run multi-trillion parameter MoE reasoning model locally.
  • Accelerates price competition and commoditization across proprietary cloud API providers.

Strategic Outlook

Marks a pivotal shift where open-weights architectures achieve parity with proprietary multi-trillion parameter foundation model.

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Deploying Kimi K3 on AWS | AI Timeline | SPIDITS AI