Helpful Amazon SageMaker AI Tutorials and Guides
September 9, 2026 · NeuralArmada Team
A working tutorial for moving a SageMaker AI endpoint off ml.g5/g6 and onto ml.inf2: compiling with Optimum Neuron, caching the compiled artifact in S3, deploying the LMI-Neuron container, benchmarking cost per million tokens, and knowing when Inferentia is the wrong answer.
Read moreAugust 27, 2026 · NeuralArmada Team
Turn on data capture, baseline your training data, schedule data quality and model quality monitors, alarm on the features that matter, and know what to do when drift actually fires.
Read moreAugust 25, 2026 · NeuralArmada Team
At re:Invent 2024 AWS renamed the SageMaker you knew to SageMaker AI and gave the old name to a unified data-and-AI platform. What moved where, what changes for production workloads (very little), and a checklist.
Read moreAugust 25, 2026 · NeuralArmada Team
A complete, runnable pipeline: preprocess, train, evaluate, and register only when accuracy clears a threshold, then deploy automatically from a Model Registry approval through EventBridge and Lambda.
Read moreAugust 25, 2026 · NeuralArmada Team
The four SageMaker AI inference options in one table, a three-question decision rule, cost math for four real traffic shapes, and deployment code for each option including scale-to-zero.
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