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ENTITY SageMaker HyperPod

SageMaker HyperPod

PulseAugur coverage of SageMaker HyperPod — every cluster mentioning SageMaker HyperPod across labs, papers, and developer communities, ranked by signal.

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  1. 2026-08-24 product_launch AWS announced new Ray capabilities integrated into SageMaker HyperPod for foundation model training and serving. source
  2. 2026-07-10 product_launch AWS announced the implementation of Disaggregated Prefill and Decode (DPD) for LLM inference on SageMaker HyperPod. source
  3. 2026-07-10 product_launch AWS SageMaker HyperPod now supports disaggregated prefill and decode for LLMs. source
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_236402 ·

    AWS and NVIDIA launch Physical AI model factory with Cosmos 3

    AWS and NVIDIA have collaborated to create a Physical AI model factory using NVIDIA Cosmos 3 on SageMaker HyperPod. This system is designed to continuously generate synthetic data, train perception and policy models, an…

  2. TOOL · CL_217244 ·

    AWS SageMaker HyperPod integrates new Ray capabilities for foundation model training

    Amazon SageMaker HyperPod now offers enhanced integration with the open-source Ray framework, simplifying the process of training and serving foundation models. This update allows data scientists to manage Ray clusters …

  3. TOOL · CL_173479 ·

    Kimi K3 frontier model deployment on AWS requires heavy infrastructure

    Deploying the open-weight frontier model Kimi K3 on AWS infrastructure, specifically SageMaker HyperPod and EKS, has been demonstrated. This deployment highlights the feasibility of running such advanced models on cloud…

  4. TOOL · CL_136232 ·

    AWS SageMaker HyperPod introduces disaggregated LLM inference for improved performance

    Amazon SageMaker HyperPod now supports Disaggregated Prefill and Decode (DPD) for large language model (LLM) inference. This technique separates the prompt processing (prefill) and token generation (decode) phases onto …

  5. TOOL · CL_135910 ·

    AWS SageMaker HyperPod enhances LLM training with disaggregated compute

    AWS SageMaker HyperPod has introduced support for disaggregated prefill and decode phases for large language models (LLMs). This new feature, enabled by pdSpec, allows teams to separate these phases onto dedicated GPU p…