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NVIDIA Partners With Financial Firms for $500B AI Capital

NVIDIA announced partnerships with six financial institutions to establish independent platforms designed to mobilize over $500 billion for AI infrastructure.

WHAT YOU NEED TO KNOW
  • NVIDIA partnered with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize over $500 billion.
  • Financial partners will independently evaluate opportunities based on demand, utilization, cash flow, and residual value.
  • NVIDIA may provide residual-value support for up to 25% of a project on a case-by-case basis.
  • One-year H100 rental rates reached approximately $2.35 per GPU-hour in March 2026.

NVIDIA announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish independent financing platforms designed to mobilize over $500 billion of third-party capital for artificial intelligence infrastructure.

The chipmaker stated that the capital figure represents aggregate third-party funding to be mobilized over time rather than NVIDIA revenue, a single fund, or a commitment to a single customer. Each financial institution will independently assess project opportunities based on customer demand, utilization, cash flow, and residual value.

Financing Terms

Under the initiative, NVIDIA noted it may provide a residual-value support mechanism covering up to 25% of an opportunity on a project-by-project basis. The company said this limited support is intended to complement independent underwriting rather than replace it.

Demand for compute has influenced hardware rental rates across the industry, according to data published by NVIDIA. One-year rental pricing for the NVIDIA H100 rose from about $1.70 per GPU-hour in October 2025 to roughly $2.35 per GPU-hour in March 2026. Cross-provider on-demand median rates increased from roughly $2.00 per GPU-hour in October 2025 to $2.70 in June 2026. Reported Blackwell B200 cloud rates ranged between $5.30 and $7.05 per GPU-hour.

Infrastructure Lifecycles

Hardware economic lifecycles are also extending through software updates, the company said. The Ampere-based NVIDIA A100, launched in 2020, remains in active commercial use six years later for training, fine-tuning, inference, and high-performance computing. Multi-year customer commitments are extending the A100 deployment timeline toward a decade.

NVIDIA's DSX AI factories run workloads spanning language, vision, speech, biology, physical AI, and robotics. The architecture is used across major clouds, systems makers, and enterprises worldwide.

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