Deploying generative AI at enterprise scale requires balancing performance, cost, and reliability across diverse business purposes and use cases. Amazon Bedrock offers a complete portfolio of inference options, with on-demand cross-region inference for elastic scaling, on-demand service tiers for balancing performance and cost, including optimization options like prompt caching for improving latency while significantly reducing cost, and batch inference for cost-effective bulk processing. This interactive session covers the tools and approaches needed to architect hybrid inference strategies that enable enterprises to maximize price-performance ratios as AI workloads scale.

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