Meta Signs Agreement With AWS to Power Agentic AI on AWS Graviton Chips

Key Terms

agentic AI technical

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

gpus technical

GPUs are specialized computer chips originally designed to draw images on screens but now widely used to speed up tasks like artificial intelligence, scientific calculations, and data analysis. For investors, GPU demand is a signal about where computing power is being deployed — rising GPU sales can boost makers of chips and the datacenters that use them, influence supply chains and prices, and indicate which companies have a performance edge, much like a restaurant gaining an advantage by hiring many fast, skilled cooks.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

The deal helps power the agentic workloads behind Meta’s AI efforts

Key takeaways

• The deployment starts with tens of millions of Graviton cores, with the potential to expand.
• Meta is now one of the largest Graviton customers in the world.
• The deal builds on Meta's long-standing AWS relationship and use of Amazon Bedrock at scale to support its next generation of AI.

SEATTLE--(BUSINESS WIRE)-- Meta has signed an agreement to deploy AWS Graviton processors at scale. The deal marks a significant expansion of a long-standing partnership between the two companies as Meta builds its next generation of AI.

The deployment starts with tens of millions of Graviton cores, with the flexibility to expand as Meta's AI capabilities grow. The deal reflects a shift in how AI infrastructure gets built: while GPUs remain essential for training large models, the rise of agentic AI is creating massive demand for CPU-intensive workloads—real-time reasoning, code generation, search, and orchestrating multi-step tasks. Graviton5 is purpose-built for these workloads, giving Meta the processing power to run them efficiently at scale.

The chips will power various workloads at Meta, including supporting the company’s AI efforts. That work requires infrastructure that can handle billions of interactions while coordinating complex, multi-step agent workflows—exactly the kind of CPU-intensive work Graviton is designed for.

To get the full story, visit About Amazon.

About Amazon Web Services

Amazon Web Services (AWS) is guided by customer obsession, pace of innovation, commitment to operational excellence, and long-term thinking. By democratizing technology for nearly two decades and making cloud computing and generative AI accessible to organizations of every size and industry, AWS has built one of the fastest-growing enterprise technology businesses in history. Millions of customers trust AWS to accelerate innovation, transform their businesses, and shape the future. With the most comprehensive AI capabilities and global infrastructure footprint, AWS empowers builders to turn big ideas into reality. Learn more at aws.amazon.com and follow @AWSNewsroom.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260424641117/en/

Amazon.com, Inc.
Media Hotline
Amazon-pr@amazon.com
www.amazon.com/pr

Source: Amazon.com, Inc.