AWS Tool Auto-Optimizes AI Endpoint Costs and Performance

Amazon SageMaker AI's concurrency sweeps offer a systematic way to right-size generative AI endpoints, eliminating costly trial-and-error capacity planning. The built-in benchmarking tool sends progressively increasing concurrent traffic to endpoints, measuring throughput and latency to identify the saturation point where performance degrades. The four-step workflow deploys a model, configures a workload profile, runs automated benchmarks via the CreateAIBenchmarkJob API, and analyzes results to optimize fleet size. The process is demonstrated using NVIDIA's Nemotron-3 Nano 30B model on an ml.g7e.2xlarge instance, helping teams avoid overspending on idle GPUs or underprovisioning that causes latency spikes.