NVIDIA Signs MOUs With Apollo Global, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to Mobilize $500B for AI

The announcement, made on August 10, marks an expansion of NVIDIA’s role in the AI infrastructure market beyond supplying processors and software. The proposed financing platforms are intended to help fund data centers, AI factories, and other computing infrastructure as demand for AI capacity continues to grow.

The companies have not committed $500 billion to the initiative. Instead, NVIDIA said the partnerships are designed to create dedicated pools of capital that can be deployed over time. The final agreements have yet to be completed, with NVIDIA noting that the partnerships remain subject to the execution of definitive agreements.

NVIDIA Targets a New AI Infrastructure Asset Class

At the center of the initiative is NVIDIA’s effort to position AI compute as an investable infrastructure asset. The company said its platforms can support long-duration, usage-linked revenue models, allowing institutional investors to finance computing capacity based on demand from AI labs, enterprises, and cloud providers.

The partnership establishes dedicated capital pools to finance AI data centers, chips, power infrastructure, and AI factories, positioning compute as a distinct asset class for NVIDIA customers. Source: Financial Times via X

“AI factories” are large-scale facilities that combine computing hardware, networking, software, and power infrastructure to produce AI services. NVIDIA said the new financing structures are intended to support the development of these facilities across its wider ecosystem.

NVIDIA CEO Jensen Huang described the shift as an important change in the company’s business model.

“NVIDIA has reached an important milestone. We began by building chips; today, we are helping create a new class of productive, investable infrastructure: AI factories,” Huang said. “In AI, compute is revenue.”

The company also argued that NVIDIA-based compute has characteristics that could make it suitable for infrastructure financing. Its hardware is used across multiple AI workloads, while the CUDA software ecosystem can extend the usefulness of NVIDIA systems as models and applications evolve.

Six Financial Giants Join NVIDIA

The agreements bring together some of the largest participants in global asset management and capital markets.

Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR will work with NVIDIA to develop separate financing structures. According to NVIDIA, the platforms are expected to provide capital at attractive rates for customers seeking to expand their AI computing capacity.

NVIDIA signed MOUs with Apollo Global, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish financing platforms targeting more than $500 billion for AI compute infrastructure. Source: NVIDIA Newsroom via X

The initiative reflects a growing connection between technology companies and institutional infrastructure investors. AI data centers require significant spending not only on GPUs but also on electricity, cooling systems, networking equipment, land, and construction.

Larry Fink, chairman and CEO of BlackRock, said the AI buildout would require “unprecedented investment” and emphasized the role of long-term capital in developing the required infrastructure.

Goldman Sachs CEO David Solomon similarly described the AI investment cycle as being at a pivotal stage. He said the firm was interested in helping create “a market for credit backed by NVIDIA compute.”

Blackstone President and COO Jon Gray said the firm remains a major investor across NVIDIA’s ecosystem and that the new arrangement reflects its confidence in the company’s technology platform and AI infrastructure demand.

AI Compute Financing Addresses Rising Infrastructure Costs

The financing initiative comes as AI companies face increasingly large capital requirements. Building an AI data center can require billions of dollars, with costs extending well beyond semiconductor purchases.

Power availability has also emerged as a major constraint for new data center projects. At the same time, cloud providers and AI developers are seeking access to additional computing capacity to support training and inference workloads.

Analysts say the initiative could extend the AI investment cycle by accelerating planned projects into active construction, potentially sustaining demand for NVIDIA’s GPUs, networking equipment, and integrated systems. Source: Jean-Paul van via X

Recent transactions illustrate the growing role of institutional capital in the sector. In June, KKR launched Helix Digital Infrastructure with more than $10 billion in committed capital, with NVIDIA and utility company Vistra among the anchor investors. The platform was created to finance additional AI infrastructure.

Apollo and Blackstone have also been involved in a separate $35 billion financing platform with Broadcom aimed at expanding AI computing capacity for companies including Anthropic. That initiative is designed to support more than 20 gigawatts of computing capacity through 2028.

These transactions demonstrate how private capital is increasingly being used alongside technology companies to finance large-scale AI infrastructure projects.

NVIDIA Expands Its Role Across the AI Ecosystem

The new MOUs could give NVIDIA a broader role in the development of AI infrastructure without requiring the chipmaker to fund the entire buildout itself.

Under the proposed structures, financial institutions would provide and manage the capital, while NVIDIA contributes its technology expertise and access to its broader ecosystem. The company said the platforms are intended to support frontier AI laboratories, enterprises, and AI cloud operators.

Brookfield CEO Bruce Flatt said the partnership would help build and finance what he described as the “backbone of AI globally,” while KKR co-CEOs Joe Bae and Scott Nuttall emphasized the importance of combining NVIDIA’s accelerated computing technology with KKR’s long-duration capital and infrastructure expertise.

For NVIDIA, the model could also strengthen demand for its GPUs and software as more AI factories are financed and deployed. The company said the platforms are designed to support ecosystem growth across both hardware sales and software adoption.

However, the scale of the announced target should be viewed in context. The $500 billion figure represents the amount of third-party capital the partnerships seek to mobilize over time, rather than a single financing commitment or an immediately available pool of funds.

Reuters reported that the specific financial terms, individual investment commitments, and deployment timelines had not been disclosed.

The final structure of the financing platforms will therefore depend on future agreements, investor participation, and demand for the underlying AI infrastructure.

The announcement nevertheless signals a broader evolution in the AI market. As computing becomes a critical input for businesses, governments, and AI developers, financing models traditionally used for infrastructure projects are increasingly being adapted to support the expansion of AI data centers and compute capacity.