AWS walks through deploying and benchmarking models on SageMaker JumpStart with reusable Python script
AWS ML Blog · rss · 2026-10-14
An AWS ML Blog tutorial shows a repeatable three-step workflow on SageMaker JumpStart: discover models via listjumpstartmodels, deploy with ModelBuilder.fromjumpstartconfig using recommended instances (now with one-click Hugging Face deep links), run sample prompts to measure latency and generation rate, then tear down the endpoint. Full code included, demoed on Qwen3.5-27B.
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