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Why we don’t need more data centers to build better AI - Berkeley News

Instead of power-hungry AI models, UC Berkeley experts argue that smaller and more efficient open-source technologies are the way of the future.

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news.berkeley.eduStai leggendo1 g fa

Why we don’t need more data centers to build better AI - Berkeley News

Open-source models (Llama, DeepSeek) match proprietary AI with lower energy costs, eliminating need for mega data centers. CTOs can adopt distributed infrastructure, cutting capex and vendor lock-in; DeepSeek's 2025 emergence caused multi-billion NVIDIA stock shock.

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nature.com2 g fa

Why scientists should lead the shift away from AI mega data centres

Publicly available AI models and local infrastructure can reduce AI’s environmental footprint while giving researchers greater control over the tools they use.

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martedì 11 agosto 2026·nature.com
Why scientists should lead the shift away from AI mega data centres
Publicly available AI models and local infrastructure can reduce AI’s environmental footprint while giving researchers greater control over the tools they use.
martedì 11 agosto 2026·news.berkeley.edu
Why we don’t need more data centers to build better AI - Berkeley News
Instead of power-hungry AI models, UC Berkeley experts argue that smaller and more efficient open-source technologies are the way of the future.