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It’s no secret that AI innovation is driving demand for high-powered compute infrastructure. But there’s another critical issue at play: the immense energy required to power and cool these systems. This may be the most important AI challenge few are talking about. Data centers — the backbone of AI — are extremely energy-intensive, consuming 10-50 times the energy per floor space of a typical office building. In northern Virginia, the world’s largest data center market, only 0.2% of grid capacity is available. In Ireland, data centers are projected to account for 32% of national electricity consumption by 2026. The key to sustainable AI growth lies not just in scaling up hardware but in developing better solutions for how we manage the massive energy consumption that comes with it. Generating enough power to run the machines is one thing, but equally important is finding efficient ways to cool them, as this process consumes an enormous amount of energy. That’s why we’re excited to announce our investment in Phaidra, an innovative company whose AI-based control systems use reinforcement learning to help mission-critical facilities like data centers optimize their cooling systems and reduce energy costs. Phaidra is led by Jim Gao, Vedavyas Panneershelvam, and Katie H.. — an experienced team whose work at DeepMind reduced energy usage in Google’s data centers by 40%. They bring a vital mix of engineering know-how, AI research credentials, and dedication to solving the global problem of energy usage in data centers. Learn more about our investment in Phaidra and how this impressive team is powering the future of sustainable AI innovation and growth.

Michael Levesque

Innovation Consultant | Program Manager | Proposal Manager | Engineering Manager | Systems Engineer

1mo

Congratulations Katie and team! Keep on growing...

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