AWS has introduced Generative AI Inference Recommendations directly in Amazon SageMaker AI Studio, expanding a capability first released through APIs in April 2026. The visual workflow helps teams select suitable inference configurations by benchmarking combinations of instances, serving containers, and optimization techniques on real GPU infrastructure.
Users choose their workload profile, model, and optimization goal, such as reducing latency, increasing throughput, or lowering cost. SageMaker then returns ranked recommendations based on measured performance metrics, including time to first token, inter-token latency, throughput, and cost.
AWS says teams can reach validated production configurations in hours instead of weeks.
