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Google and Blackstone are launching a $5 billion AI cloud venture to challenge Nvidia. The firm aims for 500 megawatts of capacity by 2027 using Google TPUs.
Google and Blackstone are launching an unnamed U.S. cloud company backed by $5 billion in equity to challenge existing AI infrastructure providers like CoreWeave [1]. The venture, which will be majority-owned by Blackstone, aims to bring 500 megawatts of computing capacity online by 2027, a power load equivalent to that of a midsize city [2].
The partnership marks Google’s most aggressive effort to monetize its proprietary hardware outside of its own cloud ecosystem. Under the agreement, Google will provide its specialized Tensor Processing Units (TPUs), software, and services to the new firm [2]. Benjamin Treynor Sloss, a Google executive, will lead the company as its chief executive [2]. While the initial equity commitment is $5 billion, the venture is expected to support roughly $25 billion in total compute investments as it scales [2].
This move directly targets the dominance of Nvidia, whose chips currently power the vast majority of AI infrastructure, including the systems used by CoreWeave [2]. By deploying its own chips, Google is attempting to capture a larger share of the market for AI training and inference, where demand for computing power has reached extreme levels [2]. Google has previously signed deals to provide its chips to Anthropic and Meta, but this new venture represents a broader push to commercialize its hardware for the wider industry [2].
Blackstone brings significant expertise to the project, as it is already one of the world’s largest providers of data centers, having acquired operators like QTS Realty Trust and AirTrunk [2]. The firm has also built a portfolio of AI-related investments, including stakes in CoreWeave, Anthropic, and OpenAI [2]. The partners have already identified several data center sites for the venture, some of which are currently under construction [2].
The success of the venture hinges on whether Google’s custom silicon can effectively displace Nvidia’s entrenched position in the AI computing market. Whether this new infrastructure can attract enough demand to justify a $25 billion investment remains the primary question for the industry.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Jun 15, 2026 · How we report
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