
Meta Taps Amazon CPUs to Power Agentic AI at Scale
Meta signs a multi-year AWS deal to deploy tens of millions of Graviton5 CPU cores, betting that agentic AI workloads need CPUs more than GPUs.
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AI Industry & Policy Reporter
Daniel is a tech reporter who covers the business side of artificial intelligence - funding rounds, corporate strategy, regulatory battles, and the power dynamics between the labs racing to build frontier models. Before joining Awesome Agents, he spent four years at Reuters covering the intersection of technology and finance, with a particular focus on how venture capital shapes the AI industry.
He holds a degree in Economics from the London School of Economics and a postgraduate diploma in Journalism from City, University of London. His economics training shows in his reporting: he follows the money, reads the filings, and is skeptical of growth narratives that do not come with numbers attached.
At Awesome Agents, Daniel covers AI industry news with an emphasis on deals, policy, competition, and market dynamics. He is especially interested in the geopolitics of AI - export controls, chip restrictions, and the US-China-EU regulatory landscape. His reporting tends to focus on who benefits, who pays, and what the incentives actually are.
Based in London, UK.

Meta signs a multi-year AWS deal to deploy tens of millions of Graviton5 CPU cores, betting that agentic AI workloads need CPUs more than GPUs.

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