OpenAI’s colossal AI data center targets would consume as much electricity as entire nation of India
Gross will run a newly created group focused on long-range capacity planning and developing supply chain that is capable of delivering equipment that will consume gigawatts of power (i.e., that is a lot of chips and servers). His responsibilities include defining Meta's future compute needs, managing strategic supplier relationships, following industry dynamics, and developing planning and business models to support infrastructure expansion at multi-gigawatt scale.
Given the responsibilities of Janardhan and Gross, Meta is establishing Meta Compute to systematically expand AI-scale infrastructure at a level far beyond traditional data-center growth. As advanced AI models now demand compute measured in tens of gigawatts and hundreds of gigawatts over time, Meta indeed needs to secure sophisticated hardware and construct actual buildings. A dedicated organization allows Meta to plan power, land, networking, and system architecture years in advance, rather than scaling reactively as demand rises.
The new structure also centralizes ownership of the full technical stack — from software and system architecture to in-house silicon, networks, and data centers — to ensure that hardware and software decisions are made together to maximize efficiency. At the same time, Meta Compute separates operational execution from long-term capacity strategy and supply chain creation.
Both executives will coordinate closely with Dina Powell McCormick, who has joined Meta as president and vice chair. Dina Powell McCormick will work closely with the compute and infrastructure organizations to ensure that Meta's multi-billion-dollar investments align with the company's objectives and deliver tangible economic benefits in the regions where the company operates. In addition, she will lead initiatives to establish new strategic capital alliances and develop new approaches to boost Meta's long-term investment capacity.
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Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/meta-sets-up-meta-compute-organization-for-gigawatt-scale-ai-data-centers-initiative-is-said-to-consumer-hundreds-of-gigawatts-over-time#main
- https://www.tomshardware.com
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