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AI BriefWire / Thread
Amazon SageMaker AI Async Inference now supports inline request payloads
Amazon SageMaker AI Async Inference now supports sending inference payloads directly in the request body. This removes the previous requirement to upload input data to Amazon S3 before each inference call. The update simplifies and speeds up the inference process for users.
AWS Machine Learning Blog
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Amazon (AMZN)
Market lens
This can lower latency and operational complexity for AI applications using SageMaker.
Operator take
Users relying on SageMaker Async Inference should adopt inline payloads for efficiency.
Source mix
Sources in this thread (1): AWS Machine Learning Blog
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Amazon SageMaker AI Async Inference now supports inline request payloads
Amazon SageMaker AI Async Inference now supports sending inference payloads directly in the request body. This removes the previous requirement to upload input data to Amazon S3 before each inference call. The update simplifies and speeds up the inference process for users.
Tracking AMZNAMZN
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Amazon SageMaker AI Async Inference now supports inline request payloads
Amazon SageMaker AI Async Inference now supports sending inference payloads directly in the request body. This removes the previous requirement to upload input data to Amazon S3 before each inference call. The update simplifies and speeds up the inference process for users.
Tracking AMZNAMZN