Meta entered into a new agreement to deploy millions of general-purpose chips from Amazon, as part of the social media giant’s AI expansion efforts.
Under the deal, Meta will gain access to AWS’s Graviton line of processors, which are specifically designed for agentic AI.
While tools such as large language models rely on GPUs for training, the rise of agentic AI is increasing demand for high-performance CPUs that support inference and compute-intensive tasks such as orchestration and memory management.
Amazon said its latest Graviton chips feature a cache five times larger than the previous generation, enabling faster data processing and greater bandwidth — both key to agentic workflows.
The agreement joins growing industry momentum to secure the infrastructure needed to support both current and next-generation AI systems.
“This isn’t just about chips; it’s about giving customers the infrastructure foundation … to build AI that understands, anticipates and scales efficiently to billions of people worldwide,” Nafea Bshara, vice president at Amazon, said in an April 24 blog post.
“As we scale the infrastructure behind Meta’s AI ambitions, diversifying our compute sources is a strategic imperative,” Santosh Janardhan, head of infrastructure at Meta, said in the statement. “Expanding to Graviton allows us to run CPU-intensive workloads behind agentic AI with the performance and efficiency we need at our scale.”
The deal is one of many signed over the past few months as AI vendors race to secure next-generation AI infrastructure.
Earlier this month, OpenAI and Anthropic both expanded partnerships with Amazon to ramp up deployment of the tech giant’s in-house Trainium chips.
In February, Meta made a chip deal with AMD worth $100bn, as well as an expanded deal with Nvidia to use more of its chips.
In April, the Facebook parent company also expanded its partnership with Broadcom to support the design and development of chips for AI-specific applications.