SageMaker SDK ranks endpoints at 3,609 tokens/sec

Amazon SageMaker Python SDK 3.17.0 now benchmarks generative-AI endpoints, ranks deployment configurations, and deploys the winner from one notebook. In AWS’s launch example, the top configuration delivered 3,609 output tokens per second—about 16% more throughput and 10% lower latency than the runner-up at the same concurrency—but those figures describe one vendor test, not a portable model guarantee. Teams pricing inference against an AI gateway’s measurable savings ceiling should file the workflow away: benchmark with production-shaped traffic before letting a ranked recommendation become the deployment default.