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“How much will it cost to run our chatbot on Amazon Bedrock?” This is one of the most frequent questions we hear from customers exploring AI solutions. And it’s no wonder — calculating costs for AI applications can feel like navigating a complex maze of tokens, embeddings, and various pricing models. Whether you’re a solution […]
Demystifying Amazon Bedrock Pricing for a Chatbot Assistant Read More »
Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants, users, and use cases. Using the
Cost tracking multi-tenant model inference on Amazon Bedrock Read More »
Software as a service (SaaS) companies managing multiple tenants face a critical challenge: efficiently extracting meaningful insights from vast document collections while controlling costs. Traditional approaches often lead to unnecessary spending on unused storage and processing resources, impacting both operational efficiency and profitability. Organizations need solutions that intelligently scale processing and storage resources based on
Build a just-in-time knowledge base with Amazon Bedrock Read More »
Customers are increasingly using generative AI to enhance efficiency, personalize experiences, and drive innovation across various industries. For instance, generative AI can be used to perform text summarization, facilitate personalized marketing strategies, create business-critical chat-based assistants, and so on. However, as generative AI adoption grows, associated costs can escalate in several areas including cost in
Effective cost optimization strategies for Amazon Bedrock Read More »
