Meta has announced a deal to utilize Amazon-designed chips to enhance its upcoming AI models, aligning with a broader industry trend amidst ongoing shortages of Nvidia graphics chips. This partnership is part of Meta’s strategy to enhance its AI capabilities and comes as major cloud providers, including Amazon, focus on promoting their custom silicon solutions to address these supply challenges.

Meta: Meta Platforms is a technology company that operates major social media platforms and develops open-source AI models to power features across its ecosystem. It recently announced a multi-year deal with Amazon Web Services to deploy Graviton CPU chips for its next-generation AI models, focusing on agentic AI workloads. This move supports Meta’s efforts to scale AI infrastructure amid high demand for compute resources.
Amazon: Amazon, via its AWS cloud division, provides comprehensive cloud services and custom silicon like Graviton processors optimized for AI and general-purpose computing. AWS secured a partnership with Meta to supply Graviton5 chips for accelerating Meta’s AI model development and deployment. The deal aligns with AWS’s strategy to boost adoption of its homegrown chips as alternatives to conventional GPUs.

GPU Supply Crunch: Cloud providers encounter persistent Nvidia GPU shortages, spurring reliance on custom silicon solutions.
Homegrown Chip Push: Major cloud operators like Amazon promote in-house processors for AI inference and training workloads.
AI Compute Partnership: Meta partnered with AWS on a multibillion-dollar deal to leverage Graviton chips for agentic AI.