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Amazon SageMaker AI Async Inference adds inline payload support

Amazon SageMaker AI Async Inference has introduced support for inline request payloads, allowing users to send inference data directly within the InvokeEndpointAsync API request body. This update eliminates the previous requirement of uploading small payloads to Amazon S3, simplifying client-side code and reducing latency by removing a network round-trip. The new feature is particularly beneficial for workloads with smaller input sizes (up to 128,000 bytes) that require longer processing times than real-time inference. AI

IMPACT Simplifies ML inference workflows by reducing latency and operational overhead for specific use cases.

RANK_REASON This is a feature update for an existing cloud ML platform service, not a new model release or significant industry shift.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Amazon SageMaker AI Async Inference adds inline payload support

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Tool
This is a feature update for an existing cloud ML platform service, not a new model release or significant industry shift.
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2 independent sources
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product, infra
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100 days old
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COVERAGE [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Dan Ferguson ·

    Amazon SageMaker AI Async Inference now supports inline request payloads

    Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync API, removing the need to upload input data to Amazon Simple Storage Service (Amazon S3) befor…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤖 Amazon SageMaker AI Async Inference now supports inline request payloads Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inferenc

    🤖 Amazon SageMaker AI Async Inference now supports inline request payloads Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync API, removi... 📰 So…