Amazon SageMaker AI
Amazon SageMaker AI is a managed ML platform that lets developers build, train, and host models as SageMaker AI endpoints. It supports Meta’s Muse Spark Open (BF16 and NVFP4 variants) on multi‑GPU instances (ml.p6‑b300.48xlarge or ml.p5e.48xlarge), Hugging Face models, and includes training sessions that support Low‑Rank Adaptation (LoRA). Endpoints accept multi‑modal input, return text, and can be VPC‑attached and KMS‑encrypted. New updates: a reusable CDK construct automatically deregisters and re‑registers Application Auto Scaling during endpoint updates, eliminating CloudFormation failure errors. Amazon SageMaker AI also hosts a Multi‑Turn Reinforcement Learning (MTRL) pipeline that trains agents via Bedrock AgentCore. In a Wordle benchmark, a gpt‑oss‑20b model improved solve rate from 61% to 84 % (and from 15% to 69 % at low effort) for about $339 in training tokens. Amazon SageMaker Edge Manager REPLACED_BY Amazon SageMaker Neo Exowatt used Amazon SageMaker AI Amazon SageMaker AI customized Qwen3-1.7B model Amazon SageMaker AI customized Qwen3-14B model· Graphiti 生成的实体摘要
关系变化
按生效时间- ExowattUSEDAmazon SageMaker AI
Exowatt used Amazon SageMaker AI
- Amazon SageMaker AICUSTOMIZEDQwen3-1.7B model
Amazon SageMaker AI customized Qwen3-1.7B model
- Amazon SageMaker AICUSTOMIZEDQwen3-14B model
Amazon SageMaker AI customized Qwen3-14B model
- Amazon SageMaker AIREPLACED BYAmazon SageMaker Neo
Amazon SageMaker Edge Manager REPLACED_BY Amazon SageMaker Neo
- Amazon SageMaker AISENDS PROMPTS TOAmazon Bedrock AgentCore
Amazon SageMaker AI sends prompts to Amazon Bedrock AgentCore
- Multi-Turn Reinforcement LearningRUNS ONAmazon SageMaker AI
Multi-Turn Reinforcement Learning runs on Amazon SageMaker AI
- Amazon SageMaker AIALLOWSLow‑Rank Adaptation
Amazon SageMaker AI allows Low-Rank Adaptation (LoRA)
- Amazon SageMaker AI training session APIsWORKS INAmazon SageMaker AI
Amazon SageMaker AI training sessions works in GitHub Copilot
- Amazon SageMaker AIINCLUDESAmazon SageMaker AI training session APIs
Amazon SageMaker AI includes Amazon SageMaker AI training sessions
- AWS Cloud Development KitDEPLOYED ONAmazon SageMaker AI
AWS Cloud Development Kit stacks handle the deployment of Amazon SageMaker AI real‑time endpoints
- hexgrad/Kokoro-82MRUNS ONAmazon SageMaker AI
Kokoro-82M runs on Amazon SageMaker AI real‑time endpoint as a custom container
- Amazon SageMaker AIPUBLISHES TOAmazon CloudWatch
Amazon SageMaker AI publishes the ConcurrentRequestsPerModel metric to Amazon CloudWatch
- Amazon SageMaker AISIGN UP WITHGoogle
Amazon SageMaker AI customers can now sign up using a Google identity
- Amazon SageMaker AISIGN UP WITHApple
Amazon SageMaker AI customers can now sign up using an Apple identity
- SageMaker StudioPART OFAmazon SageMaker AI
Amazon SageMaker Studio is part of Amazon SageMaker AI
- Amazon SageMaker AIRUN ONAmazon Web Services
Amazon SageMaker AI runs on AWS
- Amazon SageMaker AISIGN UP WITHAmazon
Amazon SageMaker AI customers can now sign up using an Amazon identity
- Amazon SageMaker AIINTEGRATES WITHHugging Face
Amazon SageMaker AI supports deployment of Hugging Face models and integrates with Hugging Face
- Amazon SageMaker AISIGN UP WITHGitHub
Amazon SageMaker AI customers can now sign up using a GitHub identity
- Amazon SageMaker JumpStartPART OFAmazon SageMaker AI
Amazon SageMaker JumpStart is a machine learning hub within Amazon SageMaker AI
- Key Management SystemBUILT FROMAmazon SageMaker AI
Key Management System is built from code in the Confidential Federated Compute Github repository.
关系是 Graphiti 从报道中提取的事实陈述,不是原文引述;失效时间表示后来的报道显示这条关系已不成立。
相关事件 7
- Exowatt利用SageMaker无服务器模型自定义构建AI管线并超越前沿模型1 篇相关报道 · 2026-10-28
- AWS发布SageMaker SDK v3 fleet-wide计算机视觉生命周期实践方案1 篇相关报道 · 2026-10-27
- MTRL on Amazon SageMaker AI trains models on multi-turn agentic tasks1 篇相关报道 · 2026-10-24
- Amazon SageMaker training session APIs:无服务器 GPU 基础设施下的自定义训练循环实现1 篇相关报道 · 2026-10-23
- 用两项测量替代TTS自动缩放目标的猜测1 篇相关报道 · 2026-10-23
- AWS 发布新 SageMaker Studio 访问体验,新用户可一键进入1 篇相关报道 · 2026-10-20
- Amazon SageMaker JumpStart 增强模型部署与评测功能1 篇相关报道 · 2026-10-20
来源报道 8
- Exowatt 利用 SageMaker 无服务器模型自定义在精度上超越前沿模型AWS Machine Learning Blog · 一手 · 2026-10-28
- 基于 SageMaker SDK v3 的 fleet-wide 端到端计算机视觉生命周期实践AWS Machine Learning Blog · 一手 · 2026-10-27
- 亚马逊 SageMaker AI 多轮强化学习实操指南:Wordle 训练案例全流程解析AWS Machine Learning Blog · 一手 · 2026-10-24
- AWS SageMaker AI 发布无服务器模型自定义训练会话,支持多轮强化学习AWS Machine Learning Blog · 一手 · 2026-10-23
- 在 Amazon SageMaker AI 上用两次测量替代 TTS 自动扩缩容的猜测AWS Machine Learning Blog · 一手 · 2026-10-23
- AWS 发布新体验:开发者可一键进入 SageMaker StudioAWS Machine Learning Blog · 一手 · 2026-10-20
- Amazon SageMaker JumpStart 2026 年度回顾:新增 100 余款模型并升级部署体验AWS Machine Learning Blog · 一手 · 2026-10-20
- 谷歌研究:联邦数据可验证私有学习Google Research · 一手 · 2026-10-02