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While working at a major renewable energy developer, Varun Sivaram realized that the boom in AI and data centers were outpacing the construction of new power generation, even as wait times for grid interconnections grew longers.<\/p>\n
\u201cI realized we couldn\u2019t build our way out of this. We needed intelligent demand,\u201d Sivaram told Fortune.<\/p>\n
In a bid to address this need, Sivaram founded a software company called Emerald AI to develop grid flexibility for data centers\u2014essentially reducing power consumption at times of peak load demand on the grid during the hottest or coldest days each year\u2014without harming the AI operations.<\/p>\n
In addition to heightened energy efficiency, the goal is to speed up the time for AI factories and their power generation to connect to the grid while maintaining \u201cthe five nines\u201d\u2014the industry term for 99.999% reliability.<\/p>\n
Let\u2019s call it Disney FastPass approach\u2014now known as the Lightning Lane\u2014for quickly moving ahead in the grid queue.<\/p>\n
\u201cWe call it flexible-load fast track,\u201d Sivaram said, correcting the Disney reference with a laugh.<\/p>\n
Emerald AI\u2019s pitch quickly won financial backing and support from Nvidia, which has helped to fast-track the company\u2019s growth and the deployment of the AI software. \u201cAn AI for AI,\u201d he said.<\/p>\n
On March 31, Emerald AI announced the completion of a $25 million strategic funding round with Nvidia\u2019s NVentures, Eaton, GE Vernova, Radical Ventures, Salesforce, Samsung, Siemens, and more, including IQT, the venture capital arm of the CIA and other U.S. intelligence agencies. The round was led by Energy Impact Partners. That brings total funding to $68 million in 16 months since Emerald\u2019s founding.<\/p>\n
Last week, Emerald and Nvidia partnered with leading U.S. power producers, including AES, Constellation Energy, Invenergy, NextEra Energy, and Vistra.<\/p>\n
And, later this year, once a series of pilots prove successful, Emerald and Nvidia will open the first power-flexible, commercial AI factory, Nvidia\u2019s 96-megawatt Vera Rubin AI Factory Research Center, in Virginia.<\/p>\n
\u201cThe advent of the AI revolution meant that this idea should face prime time because, suddenly, AI factories don\u2019t have enough power,\u201d Sivaram said. \u201cHistorically, the data centers had no problem getting power. They\u2019ve been less than 5% of the grid, but now they\u2019re headed toward 25% of the American power supply over the course of a decade.\u201d<\/p>\n
As Constellation CEO Joe Dominguez said, \u201cWe don\u2019t have a supply problem; we have a peak problem.\u201d<\/p>\n
And Emerald\u2019s \u201cgrid-friendly AI factories\u201d aim to solve that problem.<\/p>\n
The Nvidia fast pass<\/p>\n
While Emerald\u2019s software aims to fast-track AI factories, it was Nvidia\u2019s early support that fast-tracked Emerald.<\/p>\n
\u201cWe\u2019re just excited for the opportunity to commercialize this and push it out there in a bigger way,\u201d said Marc Spieler, Nvidia senior managing director for global energy. \u201cThe pilots have been highly successful. We believe this will unlock the potential for getting more AI factories onto the grid faster, utilizing more of the untapped electrons on the grid.\u201d<\/p>\n
Their longer-term goal is for power-flexible AI factories to unlock up to 100 gigawatts of extra grid capacity from the existing U.S. power grid thanks to increased efficiencies. For context, 100 gigawatts can power roughly 75 million homes.<\/p>\n
A grid interconnection study can take years of regulatory reviews but, if you can offer power flexibility at peak demand times, developers may get almost immediate grid hookups, Spieler told Fortune. \u201cOur goal is to have as much connected to the grid as possible and not go behind the meter, not being islanded, by being flexible,\u201d he said. \u201cYou can really think of it as highly reactive, demand response at scale.\u201d<\/p>\n
And Nvidia was happy to support Emerald\u2019s potential. It\u2019s far from NVentures\u2019 only support announced March 31. ThinkLabs, which has AI focused on compressing power grid studies from years to minutes, announced a $28 million Series A financing round also led by Energy Impact Partners.<\/p>\n
\u201cWe\u2019re an ecosystem company. We go to market through partners. It doesn\u2019t matter if they\u2019re a Fortune 100, or Fortune 10 company, or an AI startup,\u201d Spieler added. \u201cIf somebody has the right idea and is able to execute, we\u2019re going to get behind them and fill the gap.\u201d<\/p>\n
How it works<\/p>\n
Eight years ago, Sivaram wrote the book, \u201cTaming the Sun: Innovations to Harness Solar Energy and Power the Planet.\u201d<\/p>\n
In it, he documented Microsoft\u2019s work moving workloads between multiple locations to \u201cchase\u201d more clean energy. And Google later worked to move more computational work overnight to utilize wind power at its strongest.<\/p>\n
\u201cI thought, \u2018Wouldn\u2019t it be nice if, instead of trying to move electrons to where the bits are, if bits could move to where the electrons are?\u2019 Or the bits could be virtually controllable\u2014slowed down or paused,\u201d Sivaram said.<\/p>\n
From that idea came the Emerald Conductor platform to \u201corchestrate\u201d onsite energy resources alongside computational flexibility so projects can connect faster and support the power grid.<\/p>\n
\u201cWe found that there is inherent flexibility that we can tap into because some AI workloads can be delayed a little bit, and the customers are OK with that,\u201d he said. \u201cSome AI workloads can be shifted from one location to another with latency that is acceptable for customers.<\/p>\n
\u201cAnd there may be resources on the site of a data center, such as a [storage] battery or a [backup] generator, that we can also recruit. Emerald AI finds ways to recruit all these different flexibility levers to provide back to the grid a very precise response,\u201d Sivaram added.<\/p>\n
And through tests and pilots, customer\u2019s critical tasks continued to function without degradation, he said. \u201cThey kept chugging along at 100% performance.\u201d<\/p>\n
#Emerald #Nvidia #aim #offer #fast #pass #data #center #grid #connects #raise #funds<\/p>\n","protected":false},"excerpt":{"rendered":"
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