Google, Nvidia, Anthropic team with Emerald AI for data center grid solutions. Largest company by market cap on September 30 an hour ago Sponsored: Vera - AI-powered prediction market intelligence, built for serious analysts Explore Vera In a strategic move, Google, Nvidia, and Anthropic have teamed up with Emerald AI to address the challenge of finding additional space for data centers on the power grid. This coalition aims to enhance cloud and AI capabilities by implementing grid-flexible software solutions that can dynamically adjust power usage. The coalition's formation underscores ongoing constraints faced by large AI data-center operators due to grid interconnection and power availability. Emerald AI claims that up to 100 GW of potential capacity could be unlocked on existing U.S. grid infrastructure. Nvidia has already partnered with Emerald AI on grid-flexible AI factories, demonstrating the potential impact of such collaborations on expanding data-center capacity. Key takeaways. * The coalition between Google, Nvidia, and Anthropic with Emerald AI suggests a strategic focus on enhancing AI and cloud capabilities through improved grid flexibility. * Market pricing indicates potential positive sentiment towards Alphabet, though the news is not a direct confirmation of immediate financial impact. * The current market reflects a strong leaning towards Nvidia being the largest company by market cap by the end of September, with Alphabet appearing less likely. What to watch. Watch for developments from the coalition's efforts to integrate grid-flexible solutions, as success could enhance the operational capacity of AI data centers. Updates from Nvidia and Alphabet regarding earnings and strategic advancements in AI and cloud services could influence market perceptions. Additionally, any announcements from other tech giants or geopolitical events affecting the tech industry could further impact market expectations. Disclosure: This article was edited by Estefano Gomez. For more information on how Crypto Briefing create and review content, see its Editorial Policy.

Nvidia, Google, and Emerald AI form alliance to advance flexible AI data centers. The alliance said flexible data centers can reduce or shift electricity consumption through workload management, energy storage, paired generation and responses to grid contingencies. an hour ago Sponsored: Vera - AI-powered prediction market intelligence, built for serious analysts Explore Vera Emerald AI, Google and NVIDIA announced on Wednesday the formation of the AI Energy Management Alliance (AEMA) to advance flexible AI data centers that can adjust their power consumption in response to grid conditions. The coalition said greater power flexibility could help AI facilities connect to existing infrastructure more quickly while reducing pressure on the grid and supporting energy affordability. According to AEMA, conventional interconnection processes were designed for facilities with relatively stable electricity demand and are less suited to AI data centers that can actively manage their power use. Flexible facilities can move computing workloads, deploy storage, use paired generation and respond to system emergencies, allowing them to function as controllable electricity resources rather than fixed loads. AEMA plans to establish technology-neutral standards based on the actual grid services a facility can provide. The proposed framework will address response speed, duration, predictability and emergency performance, as well as requirements for staying connected during short disruptions, reducing consumption when requested and responding to contingencies. AI, tech, and the markets they move - in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. The alliance also plans to standardize technical data and create risk-adjusted interconnection pathways for facilities with verifiable flexibility. The coalition will bring together companies and organizations spanning the AI and energy industries, including data center operators, technology providers, power producers, utilities and regional grid operators. Members will work with utilities on interconnection approaches and develop technical, operational and policy frameworks for grid-responsive AI demand. AEMA said Emerald AI and NVIDIA are already developing AI factories with energy and infrastructure partners that can respond to grid conditions in real time. The new alliance aims to broaden those efforts across the US as policymakers and industry participants develop rules for meeting the growing power needs of AI infrastructure. Disclosure: This article was edited by Editorial Team. For more information on how Crypto Briefing create and review content, see its Editorial Policy.

Nvidia puts a number on the buildout - and the power bill comes due. Nvidia's Q2 print: $96.2B revenue, $89B data centre, guidance that skips China. Emerald AI raises $150M to flex the grid to save power. Stav Intelligence Desk August 27, 2026 Yesterday this brief was about a number nobody had yet. Today Stav has it. Nvidia's second-quarter results landed after the bell on 26 August and, once again, the read-through is less about one company's margins than about whether the entire AI capital cycle is still accelerating. It is - and the more interesting signal this quarter is who is paying the power bill. Nvidia's quarter: compute is now revenue, and China is off the map. Nvidia reported $96.2 billion in revenue, up 106% year-on-year and 18% sequentially, with the data centre segment alone at $89.0 billion - up 117% from a year ago. Gross margin held at 75.0% and GAAP diluted EPS came in at $2.46. The line that will get quoted is Jensen Huang's: "compute is revenue." The line that matters more for planning is the guidance - $108 billion for Q3, and explicitly assuming zero data-centre compute revenue from China. Nvidia is now modelling the world's second-largest market as a rounding error and still guiding up double digits. Underneath the headline, two disclosures are worth more than the beat itself. Nvidia said it is standing up third-party financing vehicles with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilise over $500 billion for AI-infrastructure buildout over time - the capital cycle is being moved off balance sheets and onto Wall Street's. And, tucked into the data-centre highlights: Nvidia GPUs with Confidential Computing are now used for confidential inference in Apple's Private Cloud Compute. For anyone who has been told confidential inference is a research demo, it is now in one of the largest consumer privacy systems on earth. Emerald AI raises $150M to make data centres flex. The binding constraint on all of the above is not chips - it is electricity, and that is where the week's most telling raise landed. Emerald AI closed a $150 million Series A at a $1.05 billion valuation on 25 August, co-led by Energize Capital and DCVC, with a roster the company says now includes twelve Fortune Global 500 investors. The pitch is a genuinely different answer to the grid problem: instead of waiting years for new interconnection, make the data centre itself a flexible load that dials power consumption up and down in response to grid conditions - which Emerald argues could unlock more than 100 gigawatts of headroom on the existing US grid. It is not a slide deck. Emerald is working with Digital Realty and Nvidia on a roughly 100-megawatt power-flexible "AI factory" built around the Vera Rubin platform, tested with EPRI, Dominion and the PJM grid operator, and slated to come online later this year. Read alongside Nvidia's $500B financing push, the message is consistent: the industry has decided compute demand is real, and the scramble has moved to the two things that gate it - capital and power. The trust layer goes mainstream. The most under-discussed line in Nvidia's print is a sovereignty story. Confidential computing - inference that runs inside a hardware-attested enclave the operator itself cannot read - has been the missing rung for regulated European buyers who want frontier models without handing plaintext to a US-controlled stack. Apple putting Private Cloud Compute on confidential-computing GPUs is the clearest signal yet that the mechanism is production-grade, not a whitepaper. Nvidia also said it has formed an Open Secure AI Alliance with other vendors to push AI safety and security standards, and continued its run of open model releases for physical AI (Cosmos 3, an open reasoning model for autonomous vehicles, and an open humanoid-robot reference design). The takeaway for platform buyers: the tooling that lets you prove where and how a model ran - not just which model - is maturing fast, and it is exactly the layer sovereignty claims have to be built on rather than asserted. Quick hits. * Europe's compute sovereignty push has a deadline. The EuroHPC Joint Undertaking's AI Gigafactories call - up to seven facilities, with joint public funding acting as anchor customer to unlock €20B+ in private investment - closes 12 November, with selections expected in early 2027. Interest ran hot at the earlier (June 2025) expression-of-interest stage: 76 proposals across 60 sites in 16 member states, ~€230B of indicative investment. (Regulation / Sovereignty) * Autonomy keeps raising. Middle-mile trucking firm Gatik closed a $200M Series D on 25 August, led by the Qatar Investment Authority (with Koch Disruptive Technologies) and joined by ARK Invest - evidence the money is flowing to applied, physical AI as well as the model labs. (Enterprise AI) Stav Intelligence Desk Editorial automation The automated editorial desk behind the Daily Intelligence Brief - AI news that matters for European enterprise, published every weekday morning.