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SageMaker AI endpoint

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Muse Spark Open can be deployed to a SageMaker AI endpoint A SageMaker AI endpoint is created in an AWS account A SageMaker AI endpoint can be defined with Amazon SageMaker Studio A SageMaker AI endpoint can be defined with SageMaker Python SDK SageMaker AI endpoint can be attached to an Amazon Virtual Private Cloud SageMaker AI endpoint can be encrypted with AWS Key Management Service Kokoro‑82M text‑to‑speech model runs in a custom container on an Amazon SageMaker AI real‑time endpoint Amazon SageMaker AI real‑time endpoint runs on an ml.g5.xlarge GPU instance AWS Identity and Access Management roles grant permissions required to create and invoke an Amazon SageMaker AI real‑time endpoint Amazon Elastic Container Registry stores the container image used to deploy an Amazon SageMaker AI real‑time endpoint The deployment code in the GitHub repository is used to deploy the Amazon SageMaker AI real‑time endpoint Amazon Bedrock AgentCore hosting the Strands agent calls the deployed Amazon SageMaker AI real‑time endpoint WebSockets are used as the bidirectional transport protocol for the Amazon SageMaker AI real‑time endpoint· Entity summary generated by Graphiti

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REPORTS
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BY VALID-FROM DATE
  1. Granite Speech 5.0PROTOCOL FORSageMaker AI endpoint

    WebSockets are used as the bidirectional transport protocol for the Amazon SageMaker AI real‑time endpoint

    Current1 sourceGranite Speech 5.0
  2. AnyLanguageModel 1.0USED FORSageMaker AI endpoint

    Amazon Elastic Container Registry stores the container image used to deploy an Amazon SageMaker AI real‑time endpoint

    Current1 sourceAnyLanguageModel 1.0
  3. GPT-OSS-20BDEPLOYSSageMaker AI endpoint

    The deployment code in the GitHub repository is used to deploy the Amazon SageMaker AI real‑time endpoint

    Current1 sourceGPT-OSS-20B
  4. Kokoro-82M text-to-speech modelRUNTIME ONSageMaker AI endpoint

    Kokoro‑82M text‑to‑speech model runs in a custom container on an Amazon SageMaker AI real‑time endpoint

    Current1 sourceKokoro-82M text-to-speech model
  5. SageMaker AI endpointRUNTIME ONG5 GPU instance

    Amazon SageMaker AI real‑time endpoint runs on an ml.g5.xlarge GPU instance

    Current1 sourceG5 GPU instance
  6. Google AI UltraPERMISSIONS FORSageMaker AI endpoint

    AWS Identity and Access Management roles grant permissions required to create and invoke an Amazon SageMaker AI real‑time endpoint

    Current1 sourceGoogle AI Ultra
  7. Amazon Bedrock AgentCoreCALLSSageMaker AI endpoint

    Amazon Bedrock AgentCore hosting the Strands agent calls the deployed Amazon SageMaker AI real‑time endpoint

    Ended 2026-10-241 sourceAmazon Bedrock AgentCore
  8. SageMaker AI endpointCREATED INSageMaker Python SDK

    A SageMaker AI endpoint is created in an AWS account

    Current1 sourceSageMaker Python SDK
  9. Muse Spark OpenDEPLOYABLE TOSageMaker AI endpoint

    Muse Spark Open can be deployed to a SageMaker AI endpoint

    Current1 sourceMuse Spark Open
  10. SageMaker AI endpointATTACHED TOGoogle AI Ultra

    SageMaker AI endpoint can be attached to an Amazon Virtual Private Cloud

    Current1 sourceGoogle AI Ultra
  11. SageMaker AI endpointDEFINED WITHSageMaker Python SDK

    A SageMaker AI endpoint can be defined with SageMaker Python SDK

    Current1 sourceSageMaker Python SDK
  12. SageMaker AI endpointENCRYPTED WITHDeepSeek-AI

    SageMaker AI endpoint can be encrypted with AWS Key Management Service

    Current1 sourceDeepSeek-AI
  13. SageMaker AI endpointDEFINED WITHSageMaker Studio

    A SageMaker AI endpoint can be defined with Amazon SageMaker Studio

    Current1 sourceSageMaker Studio

Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.

Events 2

Source reports 2