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Choose the Right Foundation Models, with Cost, Performance, and Security in Mind.
Overview
The AWS Bedrock Model Selection & Cost Assessment helps organizations confidently choose the right foundation models for their GenAI workloads while maintaining predictable costs and strong security. Delivered by senior AWS and AI architects, this assessment evaluates your use cases against available Amazon Bedrock models, comparing performance, latency, and cost to eliminate trial-and-error before deployment.
Customers receive clear model recommendations, cost estimates, and architectural guidance aligned with AWS best practices, enabling faster time-to-value and reduced GenAI spend. Ideal for teams building on Amazon Bedrock who want clarity and confidence before moving to production.
Highlights
- Model Selection Without Guesswork: Identify the best-fit Amazon Bedrock foundation models for your specific GenAI use cases, balancing accuracy, latency, and cost.
- Predictable GenAI Costs: Understand inference and usage costs upfront with clear guidance to avoid overspend and design sustainable GenAI workloads.
- AWS-Aligned Architecture Guidance: Get expert recommendations and reference architecture aligned with AWS best practices to accelerate secure, scalable deployment.
Details
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Deployed on AWS
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