Blackstone Commits $5bn to New AI Cloud Company with Google

The race to secure AI compute capacity has reached another level, with Blackstone and Google teaming up to launch a dedicated US data centre business built on Google Cloud’s custom AI chips.

Blackstone is investing an initial US$5bn equity commitment through funds managed by the company, with the first 500MW of capacity expected online in 2027.

Google will supply the hardware, software and operational support behind the platform. This includes its TPUs, also known as tensor processing units, which are custom chips purpose-built for AI.

The new joint venture aims to offer compute-as-a-service infrastructure for organisations running demanding AI and high-performance computing workloads.

Alongside data centre capacity and networking, customers will gain another route to access Google Cloud TPUs outside the traditional Google Cloud environment.

AI demand pushes new data centre models

Google's TPU chips support both model training and inference, which is the process of running trained AI models to generate outputs and responses.

Google says the technology already powers workloads for AI laboratories, capital market firms and organisations running high-performance computing applications.

The chips also support Gemini and other Google AI products used globally.

Unlike traditional cloud deployments, the venture will create a standalone company focused specifically on AI infrastructure delivery.

That includes data centre operations, networking and TPU access packaged together as a service.

Blackstone manages more than US$1.3tn in assets and already holds a major position in digital infrastructure and data centres.

The company says the partnership gives enterprises more flexibility when deploying AI workloads requiring accelerated computing resources.

Jon Gray, President and COO of Blackstone, says: “We see a generational opportunity to invest capital at scale building AI infrastructure.

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

“We are incredibly proud to partner with Google – bringing together their world class TPUs and AI capabilities with Blackstone’s exceptional strength in energy and digital infrastructure.”

Google expands TPU access beyond cloud

For Google, the deal expands the reach of TPUs at a time when competition for AI infrastructure intensifies across hyperscale cloud providers.

TPUs have operated inside Google’s own infrastructure for more than a decade, but this model creates another channel for enterprise access.

The move also reflects broader industry demand for alternatives to traditional GPU supply chains as organisations seek greater flexibility around AI compute.

Thomas Kurian, CEO of Google Cloud, says: “This joint venture with Blackstone helps meet growing demand for TPUs, which are optimised specifically for efficiency and performance in the AI era.

“Together, we’re accelerating AI transformation and providing more options for organisations to access accelerated compute capability.”

The partnership combines Google’s AI hardware and software stack with Blackstone’s expertise in financing and scaling large infrastructure assets.

That blend is significant as AI deployments move from experimentation towards long-term operational use.

The structure also points to how financial firms continue to deepen involvement in digital infrastructure ownership.

As data centres become more specialised around AI workloads, developers face larger upfront costs tied to land, power procurement, networking and cooling systems.

Jas Khaira, Head of Blackstone N1 (BXN1), says: “Capital alone doesn’t build category-defining platforms – the right partner, the right structure and the conviction to underwrite singular opportunities do.

“Google’s TPUs, a decade in the making and foundational to the AI economy, are exactly the kind of platform BXN1 was built to back.”

Infrastructure veteran takes CEO role

The companies have appointed a long-time Google infrastructure executive to lead the venture.

Benjamin Treynor Sloss has been appointed as CEO of the new company after spending more than 20 years helping build and operate Google’s global infrastructure and operations footprint.

His appointment signals the operational scale expected for the platform as capacity ramps over the coming years.

The new company plans to scale beyond the initial 500MW deployment over time, although the partners have not disclosed total future capacity targets or specific data centre locations.

For the wider market, the venture demonstrates how AI infrastructure increasingly depends on close partnerships between cloud technology providers, capital firms and data centre operators.

Access to power, advanced chips and large-scale facilities now sits at the centre of competition for enterprise AI workloads.

The project also reinforces the growing importance of dedicated AI data centre environments rather than traditional multi-purpose colocation deployments.

With accelerated compute demand continuing to rise, operators across the sector face pressure to deliver facilities capable of supporting increasingly power-intensive AI systems.