从数周到数小时：借助 Amazon SageMaker AI 加速生成式 AI 的部署上线From Model to Production: Deploying Inference at Scale with Amazon SageMaker AI

GenAI模型部署常耗数周基准测试且面临GPU容量不确定性。Amazon SageMaker AI两大能力破局：Optimized Inference基于NVIDIA AIPerf提供验证的部署配置与成本预测；Capacity-Aware Pools彻底消除容量不足错误，将GenAI从试点推向生产。

Deploying GenAI models meant weeks of benchmarking and GPU availability gambles. Amazon SageMaker AI eliminates both.

Optimized Inference Recommendations deliver deployment-ready configs with validated latency, throughput, and cost projections—benchmarked on real GPU infrastructure via NVIDIA AIPerf. Capacity-Aware Instance Pools ends InsufficientCapacityErrors for good, with zero manual retries.

For enterprises in financial services, e-commerce, and manufacturing scaling GenAI —this is the foundation that turns pilots into production.

Discover in this session how. Walk away with a deployment blueprint you can act on immediately.

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