Meta says data centers are central to its AI strategy
Meta’s Head of Infrastructure, Santosh Janardhan, sat down with developer Tom Shaw to explain why the company treats data centers as a core component of its artificial‑intelligence ambitions. Janardhan argues that AI workloads differ from traditional software in scale and latency, so owning the hardware stack lets Meta optimise performance and cost.
Key points
- Santosh Janardhan says Meta’s AI workloads need dedicated data centers to meet scale and latency demands
- Meta is building its own facilities to control chip choices and supply‑chain for AI hardware
- A gigawatt of power is cited as the energy benchmark for Meta’s future AI infrastructure
The interview covers how Meta powers its AI clusters, the magnitude of energy required – Janardhan describes a gigawatt of power as a benchmark for future growth – and the criteria used to pick chips for its servers. He also notes that building its own facilities gives Meta control over supply chains and the ability to experiment with custom silicon, which he says is essential for staying competitive in the AI race.
Janardhan stresses that the focus on AI is not a temporary trend but a long‑term strategic priority, and that the company’s data‑center investments are designed to support the next generation of large‑scale models and services.
Why Data Centers Are Such a Big Part of Meta’s AI Approach
Meta Newsroom · 7 October 2026
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