Oracle and OpenAI sign $300B cloud deal for AI research

𝗢𝗿𝗮𝗰𝗹𝗲-𝗢𝗽𝗲𝗻𝗔𝗜 $𝟯𝟬𝟬𝗕 𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝗮𝗹: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗶𝗻 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Oracle and OpenAI just announced one of the largest tech contracts in history - a five-year, $300 billion cloud computing agreement starting in 2027. This massive deal will provide OpenAI with unprecedented computing resources to accelerate AI research and model development. 👉 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝐛𝐲 Pierre-Alexandre Balland: https://lnkd.in/eVSfTyKY #AI #CloudComputing #Oracle #OpenAI #TechDeals #Infrastructure #AGI #ArtificialIntelligence #TechTrends #BusinessStrategy

Johnny Da Silva

Chef d'entreprise @ Axians | Expert MultiCloud, Cybersécurité, Services Managés & Transformation Numérique

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This Oracle–OpenAI agreement truly signals a watershed moment for both the cloud and AI industries, with the $300 billion commitment dwarfing any previous cloud deal and setting an entirely new bar for scale and ambition. For tech decision makers, the project’s sheer magnitude raises immediate questions, especially around infrastructure delivery and power provisioning, given that powering these data centers will require energy equivalent to several million US homes. Oracle’s leapfrogging into the center of the hyperscaler landscape is particularly striking, with the deal potentially accounting for up to 78 percent of Oracle’s projected new cloud infrastructure revenues by 2030, a massive repositioning for a company often perceived as a legacy player. The diversification of OpenAI’s cloud partnerships highlights the emerging strategic imperative to avoid over-reliance on a single provider, as well as the operational necessity of securing massive, multi-sourced compute commitments in a market where AI infrastructure demand is surging at double-digit annual rates. This move is likely to temporarily concentrate advanced AI resources among a handful of large players, potentially tightening compute supply and shaping future price evolution. Yet, the economics raise as many questions as the tech does: industry analysts are rightfully skeptical about the viability of backing such immense infrastructure investment without a proven economic model or steady cash flow. The need for an acceleration in both data center construction and sustainable energy sourcing puts even more pressure on execution. For enterprise IT leaders, this announcement reinforces the importance of a robust multi-cloud strategy and proactive risk management to navigate the increasingly complex supply and demand dynamics of AI compute, cloud capacity, and digital supply chains. The next few years will likely shape not just how AI capabilities evolve, but also who gets access to them and on what terms.

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