Arm rolls its own 136-core AGI CPU to chase AI hype train

Summary

Arm unveiled its first homegrown silicon — yes, an actual chip, not another shake-n-bake blueprint — during an event in San Francisco on Tuesday, and said that flagship customer Meta is set to deploy the 136-core CPU at scale later this year. Dubbed the AGI CPU, the British chip designer’s first Arm-branded datacenter processor is designed with agentic AI in mind. You heard it here first folks, artificial general intelligence (AGI) is here and it’s a ... it’s a CPU. The new hardware represents a sea change in the British chip designer's business model. While Arm is no stranger to datacenter silicon, its involvement in those products up until now has been to license the core IP or instruction set architecture necessary to build them. Despite the hypemaxxed branding, the chip’s Arm Neoverse V3 cores won’t be running AI models themselves. That’s a job for GPUs or one of the growing number of high-end AI ASICs. Instead, Arm sees its first datacenter CPU powering AI agents. In this respect, the chip will compete directly with Nvidia’s standalone Vera CPUs and rack systems detailed at GTC last week. “We think that the CPU is going to be fundamental to ultimately achieving AGI,” Mohamed Awad, Arm’s EVP of cloud AI, told El Reg. While GPUs have gotten the lion’s share of attention in recent years, the rise of agentic systems like OpenClaw have brought the need for general-purpose compute back into view. These frameworks need CPU cores and memory to write and execute code, automate tasks, and facilitate the reinforcement learning used to train next gen models. Arm is betting on the proliferation of these agents to drive a four-fold increase in CPU demand, and it’s positioning its latest chip to capitalize on this trend. A CPU built for AI Arm’s AGI CPU is a 300-watt part with 136 of its Neoverse V3 cores clocked at up to 3.7 GHz (3.2 GHz base), spread across two dies fabbed on TSMC’s 3 nm process. The processor features 2 MB of L2 cache per core along with 128 MB of shared s...