Category: Artificial Intelligence

As we continue our five-part series on optimizing costs for generative AI workloads on AWS, our third blog shifts our focus to HAQM Bedrock. In our previous posts, we explored general Cloud Financial Management principles on generative AI adoption and strategies for custom model development using HAQM EC2 and HAQM SageMaker AI. Today, we’ll guide you through cost optimization techniques for HAQM Bedrock, AWS’s fully managed service that provides access to leading foundation models. We’ll explore making informed decisions about pricing options, model selection, knowledge base optimization, prompt caching, and automated reasoning. Whether you’re just starting with foundation models or looking to optimize your existing HAQM Bedrock implementation, these techniques will help you balance capability and cost while leveraging the convenience of managed AI models.

HAQM EC2 and SageMaker AI are two of the foundational AWS services for Generative AI. HAQM EC2 provides the scalable computing power needed for training and inference, while SageMaker AI offers built-in tools for model development, deployment, and optimization. Cost optimization is crucial since Generative AI workloads require high-performance accelerators (GPU, Trainium, or Inferentia) and extensive processing, which can become expensive without efficient resource management. By leveraging the below cost optimization strategies, you can reduce costs while maintaining performance and scalability.

If you or your organizations are in the midst of exploring generative AI technologies, it’s important for you to be aware of the investment that comes with these advanced applications. While you are aiming at the expected return on your generative AI investment, such as, operational efficiency, increased productivity, or improved customer satisfaction, you should also have a good understanding of levers you can use to drive cost savings and enhanced efficiency. To guide you through this exciting journey, we will publish a series of blog posts filled with practical tips to help AI practitioners and FinOps leaders understand how to optimize the costs associated with your generative AI adoption with AWS.

With re:Invent 2024 in the books, and over 50 launch announcements, here are four that we’re most excited about. The overarching theme of these launches appears to be leveraging HAQM’s automation capabilities to optimize costs and improve efficiency for customers.

We’re excited to announce the release of AWS Cloud Financial Management digital training courses. These are four 1-hour courses that will get you familiarized with key AWS solutions to solve your daily FinOps needs, and equip you with cost optimization techniques for commonly used AWS services.

We’re at the final blog of our forecasting series! If you’ve been following along the past few weeks, you have explored creating a process for more effective forecasting, establishing a forecasting culture, and building driver-based forecasting. It is now time to put pen to paper and create your forecast. But where do you start? How […]

AWS pricing strategies offer you the flexibility to choose the most effective way to manage your costs and still keep the performance and capacity you require. Learn about Savings Plans and Reserved Instances and how you can decide what is right for your business.

Get near real-time visibility into anomalous spend by receiving AWS Cost Anomaly Detection alert notifications in Slack using AWS Chatbot. With faster visibility and insights you can reduce cost surprises, enhance control, and proactively increase savings. AWS Cost Anomaly Detection uses advanced Machine Learning to help identify and evaluate the root cause of spend anomalies. […]

In the month of August, AWS Cloud Financial Management (CFM) team has made several feature enhancements that can make your CFM journey a bit easier. AWS celebrated the 15 year anniversary of HAQM EC2. Another successful CFM peer connect event was concluded. New customer story and CFM content have been published. Learn more about these updates.

As we celebrate the upcoming 15 years birthday of HAQM EC2, we walked down memory lane and took a look at all the customer-centric cost optimization resources available for you.