English(EN) Deploying Kimi K3 on AWS shows open-weight frontier models can run on SageMaker HyperPod and EKS, but require heavy infrastructure for multi-trillion parameters

Kimi K3 前沿模型部署在 AWS 上需要庞大的基础设施

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-30 21:10

已成功演示了在 AWS 基础设施（特别是 SageMaker HyperPod 和 EKS）上部署开放权重前沿模型 Kimi K3。此次部署突显了在云平台上运行此类先进模型的可行性，但也强调了支持数万亿参数模型所需的重大基础设施要求。 AI

影响证明了在云上部署大型开放权重模型的可行性，但突显了重大的基础设施需求。

排序理由在云基础设施上部署现有模型，而非新的模型发布或研究突破。

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-30 21:10

Deploying Kimi K3 on AWS shows open-weight frontier models can run on SageMaker HyperPod and EKS, but require heavy infrastructure for multi-trillion parameters

Deploying Kimi K3 on AWS shows open-weight frontier models can run on SageMaker HyperPod and EKS, but require heavy infrastructure for multi-trillion parameters. Source: AWS Machine Learning Blog https:// aws.amazon.com/blogs/machine-l earning/deploying-kimi-k3-on-aws/ # AI # Aut…

链接 aws.amazon.com/…/deploying-kimi-k3-on-aws

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Deploying Kimi K3 on AWS shows open-weight frontier models can run on SageMaker HyperPod and EKS, but require heavy infrastructure for multi-trillion parameters

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