reply ☄️Arm's data-center royalty revenue has doubled year-over-year, with cumulative AGI CPU demand surpassing $2 billion. Arm Neoverse shipments have topped 1.5 billion cores, with the last 500 million shipped in just 9 months. 🌟DA's take: Let's be clear, AI data centers are migrating from x86 to Arm. That's not a trend, it's a fact. Nvidia Vera, Google Axion, AWS Graviton, Microsoft Cobalt, they're all betting on Arm now. Once an architecture-level migration like this gets going, the momentum is huge, and Arm is quietly eating the foundation layer of AI compute. Think it through, and it follows that if DeAgentAI's distributed inference network is going to scale up, chip architecture choice matters enormously too. Arm's low-power, high-density profile is a natural fit for the large-scale, distributed footprint that decentralized AI nodes need. What do you think: will Arm replace x86 as the dominant architecture of the AI era?

reply ☄️Arm's data-center royalty revenue has doubled year-over-year, with cumulative AGI CPU demand surpassing $2 billion. Arm Neoverse shipments have topped 1.5 billion cores, with the last 500 million shipped in just 9 months. 🌟DA's take: Let's be clear, AI data centers are migrating from x86 to Arm. That's not a trend, it's a fact. Nvidia Vera, Google Axion, AWS Graviton, Microsoft Cobalt, they're all betting on Arm now. Once an architecture-level migration like this gets going, the momentum is huge, and Arm is quietly eating the foundation layer of AI compute. Think it through, and it follows that if DeAgentAI's distributed inference network is going to scale up, chip architecture choice matters enormously too. Arm's low-power, high-density profile is a natural fit for the large-scale, distributed footprint that decentralized AI nodes need. What do you think: will Arm replace x86 as the dominant architecture of the AI era?

Source:https://x.com/DeAgentAI/status/2084257422382874643