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As the AI boom gobbles up power, Phaidra is helping companies manage datacenter power more efficiently | TechCrunch

Jul 02, 2024 - techcrunch.com
Phaidra, a company co-founded by former DeepMind engineers, is using AI to make data centers more energy-efficient. The company's systems gather data from sensors around a facility and make real-time decisions about how to cool the equipment inside in a power-efficient way. This is particularly important as data centers' power consumption is predicted to rise to 8% of the U.S.'s total power supply by 2030, up from 3% in 2022, according to a Goldman Sachs report. Phaidra's AI models self-improve, constantly learning from their own experience managing facility infrastructure.

Phaidra's clientele is heavily skewed towards the data center sector, a trend fueled by the AI frenzy. The company was named a finalist in this year's Amazon Sustainability Accelerator, which could lead to a potential investment of up to €2 million (~$2.15 million). The Seattle-based company, which employs around 100 people, recently raised $12 million in a funding round led by Index Ventures, bringing its total raised to $60.5 million. The new funds will be used for R&D, implementation, customer success, and expanded go-to-market efforts.

Key takeaways:

  • Goldman Sachs predicts that data centers will use 8% of the U.S.’s total power supply by 2030, up from 3% in 2022, due to the increasing demand for AI infrastructure.
  • Phaidra, a company co-founded by Jim Gao, Katie Hoffman, and Vedavyas Panneershelvam, is working on making data centers more energy-efficient by creating AI-powered control systems that optimize cooling and overall energy management.
  • Phaidra's technology has been deployed in various sectors, including a 500-acre vaccine manufacturing plant owned by Merck, but its clientele is now heavily skewed towards the data center sector.
  • Phaidra recently raised $12 million in a funding round led by Index Ventures, bringing its total raised to $60.5 million. The funds will be used for R&D, implementation, customer success, and expanded go-to-market efforts.
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