Google, Blackstone to launch $5 billion venture to challenge Nvidia’s AI dominance

TechnologyBusiness & Finance
20 May 2026 • 12:24 AM MYT
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Image from: Google, Blackstone to launch $5 billion venture to challenge Nvidia’s AI dominance
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Private equity powerhouse Blackstone announced a joint venture with Google to create a new US-based company that will offer efficient data center capacity, operations, networking and Google Cloud’s Tensor Processing Units (TPUs) as a compute-as-a-service offering.

The company will give customers another option to access cloud TPUs in addition to using them through Google Cloud.

Under the terms of the partnership, Blackstone is making an initial commitment of USD 5 billion in equity capital from funds managed by Blackstone. The company expects to bring the first 500 MW of capacity online in 2027, with plans to scale significantly over time.

Jon Gray, President and COO of Blackstone, said the firm is proud to partner with Google – bringing together their world-class TPUs and AI capabilities with Blackstone’s exceptional strength in energy and digital infrastructure

“This new company has enormous potential as it helps to meet the unprecedented demand for compute," said Gray.

As part of a deal, Google will supply hardware, including TPUs, as well as software and services to the new company so it can rapidly accelerate to meet the growing demand for accelerated computing, leveraging the benefit of Google’s technical and domain expertise.

Also, Blackstone has named Benjamin Treynor Sloss, a Google executive with over two decades of experience building and operating Google’s global infrastructure and operations, to lead the new company as CEO.

Thomas Kurian, CEO of Google Cloud, said: “This joint venture with Blackstone helps meet growing demand for TPUs, which are optimized specifically for efficiency and performance in the AI era. Together, we’re accelerating AI transformation and providing more options for organizations to access accelerated compute capability.”

Google’s TPUs are custom chips purpose-built for AI, and optimized for training and inference of advanced AI models. They have been developed and deployed in production for more than a decade and power workloads for many of the world’s top AI labs, capital market firms, and companies running the most complex high-performance computing applications.

TPUs also power Gemini and the AI-driven products Google delivers to billions of users globally.