Meta has partnered with Amazon's AWS to bring tens of millions of Graviton CPU cores to its AI compute portfolio for Agentic AI.
The CPU Is The New GPU For Agentic AI - Meta is adding millions of Amazon AWS Graviton CPU Cores To Its AI Infrastructure.
As the Agentic AI era rages on, companies are rapidly expanding their AI infrastructure to meet rising compute demands. We have seen multi-GigaWatt deals being signed here and there, and CPU usage is on the rise.
With all of this happening, Meta has also announced its blockbuster partnership with Amazon's AWS. The new partnership centers around AWS's Graviton CPUs, which Meta will be using for its compute portfolio. In the announcement, Meta says that they will be adding "Tens of Millions" of AWS Graviton CPUs. That's a huge number of CPUs since each of the latest Graviton5 chip packs 192 Arm Neoverse cores.
The following are some of the key highlights of the partnership:
- We’re partnering with Amazon Web Services (AWS) to bring tens of millions of AWS Graviton cores into Meta’s compute portfolio.
- As Meta advances its work with agentic AI, compute requirements are evolving to demand more CPU.
- AWS Graviton5 cores are purpose-built for these demands, and our agreement reflects the principle behind our portfolio approach to infrastructure — that no single chip architecture can efficiently serve every workload.
With this, Meta will become one of Amazon's largest Graviton customers across the globe. And the use of Graviton chips also showcases just how much essential CPUs have become for Agentic AI. CPU makers are seeing massive adoption and interest in their products. Intel, AMD, NVIDIA, Amazon, essentially every firm that makes a CPU is now being approached by AI firms to gain access to as many chips as possible.
“This isn’t just about chips; it’s about giving customers the infrastructure foundation, as well as data and inference services, to build AI that understands, anticipates, and scales efficiently to billions of people worldwide. Meta’s expanded partnership, deploying tens of millions of Graviton cores, shows what happens when you combine purposebuilt silicon with the full AWS AI stack to power the next generation of agentic AI.”
– Nafea Bshara, Vice President and Distinguished Engineer, Amazon
At the same time, AI firms are also preparing their own custom silicon, which will be used for AI. Meta has already partnered with Broadcom on the development of custom AI silicon, which will be used to power a "Multi-Gigawatt" ecosystem. Meta already produces several MITA series accelerators, but with chipmakers such as TSMC, Samsung, and the rest being severely constrained, the next possible route is to go to chip makers who are already producing chips at these semiconductor firms, or just knock on the door of cloud AI providers.
And the "tens of millions of cores" is just the first deployment. Meta aims to aggressively scale up its AI resources in the coming years, so as the AI ecosystem expands, we will see even more chips being added.
About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
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