New Amazon Bedrock service tiers help you match AI workload performance with cost

Today, Amazon Bedrock introduces new service tiers that give you more control over your AI workload costs while maintaining the performance levels your applications need.

I’m working with customers building AI applications. I’ve seen firsthand how different workloads require different performance and cost trade-offs. Many organizations running AI workloads face challenges balancing performance requirements with cost optimization. Some applications need rapid response times for real-time interactions, whereas others can process data more gradually. With these challenges in mind, today we’re announcing additional options pricing that give you more flexibility in matching your workload requirements with cost optimization.

Amazon Bedrock now offers three service tiers for workloads: Priority, Standard, and Flex. Each tier is designed to match specific workload requirements. Applications have varying response time requirements based on the use case. Some applications—such as financial trading systems—demand the fastest response times, others need rapid response times ...