Crux AI, the new cloud computing venture tied to Blackstone and Alphabet, is lining up a $22 billion loan from a group of 10 banks to finance purchases of Google’s custom artificial intelligence chips, according to Bloomberg. The transaction represents one of the largest debt financings assembled specifically to fund the processors needed for AI computing infrastructure.
The lending group includes Goldman Sachs, Sumitomo Mitsui Banking Corporation, Barclays, BNP Paribas and Bank of Nova Scotia, with the banks working to bring additional lenders into the transaction through syndication.
The financing will be used to purchase Google’s Tensor Processing Units, or TPUs, specialized processors the technology company developed to accelerate machine learning and other AI workloads.
The structure is notable because the $22 billion debt package will be secured by both the value of the chips and Crux AI’s customer contracts, effectively turning expensive AI computing hardware and its associated contracted revenue into collateral for one of the largest infrastructure financings of the AI boom.
Several banks are also providing Crux AI with a separate $1 billion revolving credit facility, adding liquidity beyond the primary chip financing.
The debt could eventually be refinanced with longer-term capital from institutional investors through the investment-grade bond market, giving banks a potential path to syndicate or replace portions of the initial financing as Crux AI’s infrastructure becomes operational.
Crux AI emerged from a cloud infrastructure initiative announced by Google and Blackstone in May.
Blackstone committed an initial $5 billion of equity to the venture, which is intended to address surging enterprise demand for AI computing capacity.
The initial development plan calls for approximately 500 megawatts of data center capacity to come online in 2027, with additional expansion expected afterward.
The combination of $5 billion in initial Blackstone equity and the new $22 billion chip loan illustrates how quickly financing requirements are increasing as AI infrastructure moves from individual data centers toward much larger computing platforms.
Unlike traditional cloud infrastructure dominated by general-purpose CPUs and GPUs, Crux AI will make significant use of Google’s proprietary TPUs.
Google designed the chips specifically for AI and machine-learning workloads, giving Alphabet another avenue for expanding the ecosystem around its custom silicon beyond its own internal operations and Google Cloud.
For Blackstone, Crux AI extends the firm’s already significant exposure to data centers and digital infrastructure.
The world’s largest alternative asset manager has increasingly focused on the enormous capital requirements associated with AI, including the real estate, electricity, computing hardware and supporting infrastructure necessary to operate advanced models.
The scale of the new loan also demonstrates how those investments are creating opportunities for banks.
AI infrastructure has traditionally been financed through combinations of corporate balance sheets, project finance, private credit and equity investments. But the extraordinary value of modern AI processors is creating new forms of asset-backed lending in which chips themselves can serve as collateral.
In Crux AI’s case, lenders have another potential source of protection through the venture’s customer contracts.
Long-term commitments from customers buying computing capacity can provide predictable future cash flows, potentially allowing lenders to underwrite the financing more like infrastructure or equipment finance rather than unsecured lending to a technology startup.
That could become increasingly important as the cost of AI hardware grows into the tens of billions of dollars for individual projects.
The Crux AI deal therefore represents a broader evolution in how the AI buildout is being financed.
Banks, asset managers and private-credit firms are increasingly developing structures that allow technology companies and infrastructure operators to access enormous amounts of capital without carrying all of the investment directly on their corporate balance sheets.
Chip financing is emerging as one part of that market alongside loans secured by data centers, power infrastructure and long-term cloud contracts.
The demand behind those transactions continues to grow as technology companies race to secure computing capacity.
AI developers require increasingly large clusters of specialized processors to train frontier models and operate inference workloads for millions of customers. At the same time, enterprises are beginning to incorporate AI into more everyday business applications, creating additional demand for cloud computing.
Those trends require investment not only in chips but also in data centers, networking equipment, cooling systems and electricity generation.
Crux AI’s financing shows how quickly that spending can scale. A single cloud venture is preparing to borrow $22 billion primarily to purchase specialized processors before accounting for the billions of dollars needed for the broader physical infrastructure surrounding them.
The transaction is also another significant financing mandate for Goldman Sachs and the other global banks involved at a time when AI infrastructure has become an increasingly important source of investment banking and lending activity.
For Alphabet, the venture can potentially expand demand for Google TPUs while increasing the availability of computing infrastructure based on its proprietary architecture.
For Blackstone, the project offers another way to participate in the expansion of AI infrastructure through a business that combines digital assets, computing hardware and contracted cloud revenue.
Crux AI ultimately sits at the intersection of several of the largest investment themes driving technology markets: custom AI silicon, cloud computing, hyperscale data centers and infrastructure finance.
The $22 billion chip loan, additional $1 billion revolving facility and Blackstone’s initial $5 billion equity commitment provide an indication of the amount of capital that may be required as the venture works toward bringing its first 500 megawatts of capacity online in 2027.
