Route coding agent requests to the right model on Amazon Bedrock with NVIDIA NeMo Switchyard
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Production MLOps at GS Caltex with Amazon SageMaker Canvas, part 1
GS Caltex connects Amazon SageMaker Canvas to Amazon SageMaker Pipelines so process engineers' no-code models run in production. This post shows how ML engineers reuse validated preprocessing flows and models, cutting deployment from about a week to a few hours and running batch inference every 30 minutes.
Architecture patterns for fast session startup on Amazon Bedrock AgentCore runtime
Amazon Bedrock AgentCore runtime V2 snapshots your initialized environment and restores it for each new session, so session start no longer grows with image size. This post explains how V2 starts a session, how to measure session start time, and four patterns to keep work off the first request.
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Cost-optimizing AssemblyAI speech-to-text inference on AWS with Amazon EC2 Spot
Learn how AssemblyAI runs cost-optimized speech-to-text inference at scale on AWS, using Amazon ECS, Amazon EC2 Spot GPU instances, and an Amazon SQS-based retry architecture to achieve 70% cost savings while maintaining SLA commitments across European Regions.