According to an NVIDIA blog post, NVIDIA announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent financing platforms. NVIDIA said these platforms are "designed to mobilize over $500 billion of third-party capital to support the buildout of AI infrastructure over time" (E1, blogs.nvidia.com, primary source).
NVIDIA was explicit about what the figure does and does not represent. Per the same post, "the more than $500 billion figure represents aggregate third-party capital that these platforms are designed to mobilize over time — the capital is not NVIDIA revenue, a single fund or a commitment to a single customer" (E2, blogs.nvidia.com, primary source). In other words, NVIDIA is reporting a mobilization target set with its financial partners, not disclosing new revenue.
NVIDIA pointed to its own product history to argue that GPU compute holds value over multiple years. The company noted that it "introduced the Ampere-based A100 in 2020, and six years later, it remains in active commercial use for AI training, fine-tuning, inference and high-performance computing" (E3, blogs.nvidia.com, primary source).
NVIDIA further stated that "customers continue to commit capacity for multi-year deployments, extending A100's economic life toward a decade" (E4, blogs.nvidia.com, primary source). Read together, a chip launched in 2020 is described as still commercially deployed in 2026, with customer commitments extending its usable life toward roughly ten years — the economic basis NVIDIA cites for treating GPU capacity as a durable asset.
NVIDIA's post cited three pricing data points to illustrate how GPU rental rates have moved over time.
| Metric | Earlier reading | Later reading |
|---|---|---|
| H100 one-year rental (per GPU-hour) | ~$1.70 (Oct 2025) | ~$2.35 (Mar 2026) |
| Cross-provider on-demand median (per GPU-hour) | ~$2.00 (Oct 2025) | $2.70 (Jun 2026) |
| Blackwell B200 cloud rate (per GPU-hour) | — | $5.30–$7.05 (reported range) |
According to the NVIDIA post, "one-year H100 rental pricing rose from about $1.70 per GPU-hour in October 2025 to about $2.35 per GPU-hour in March 2026" (E5, blogs.nvidia.com, primary source). Separately, "cross-provider on-demand median pricing rose from roughly $2.00 per GPU-hour in October 2025 to $2.70 in June 2026" (E6, blogs.nvidia.com, primary source). NVIDIA also said "Blackwell capacity commands a premium, with reported B200 cloud rates spanning approximately $5.30 to $7.05 per GPU-hour" (E7, blogs.nvidia.com, primary source) — roughly two to three times the H100 and cross-provider figures cited above.
NVIDIA directly addressed a concern raised about AI infrastructure deals: that financing circulates within a small set of related parties rather than drawing in outside capital. The company stated: "This initiative is designed to address that concern. We are bringing independent, long-term institutional capital into the AI infrastructure market" (E10, blogs.nvidia.com, primary source).
That framing lines up with the structure disclosed in E1 — the counterparties are named, independent financial institutions (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR), not NVIDIA-affiliated vehicles, and the capital being mobilized is described as third-party, not NVIDIA's own balance sheet (E2).
NVIDIA disclosed a limited backstop role rather than full risk retention. Per the blog post, "in some cases, NVIDIA may provide a residual-value support mechanism for up to 25% of an opportunity, assessed carefully on a project-by-project basis" (E8, blogs.nvidia.com, primary source).
The remaining risk assessment sits with the financial institutions. NVIDIA said: "The financial institutions will independently assess each opportunity — the customer, demand, utilization, cash flow and residual value. NVIDIA provides the AI factory platform. The financial institutions provide long-term capital and financing expertise" (E9, blogs.nvidia.com, primary source). Under this description, NVIDIA's direct exposure is capped at a stated ceiling per project, while due diligence on each deal's economics is carried out separately by the institutional partners.
Taken together, the evidence NVIDIA disclosed describes a financing structure, not a guarantee. The $500 billion figure is a third-party mobilization target rather than NVIDIA revenue (E1, E2), and NVIDIA's own financial exposure is capped at up to 25% of an opportunity, with institutions independently underwriting the rest (E8, E9). That division of risk is presented as the direct answer to circular-financing concerns, since the capital and the assessment both originate outside NVIDIA (E10). The pricing and longevity data NVIDIA cited — H100 rental rates rising from about $1.70 to $2.35 per GPU-hour, cross-provider medians rising from about $2.00 to $2.70, Blackwell commanding $5.30–$7.05, and the A100 remaining in commercial use toward a decade after its 2020 launch (E3–E7) — is the asset-side case NVIDIA is making for why institutional lenders might treat GPU capacity as collateral. Whether that case holds is a matter for the institutions' independent assessments described in E9, which lies outside what this post discloses.
No. NVIDIA stated the figure "represents aggregate third-party capital that these platforms are designed to mobilize over time — the capital is not NVIDIA revenue, a single fund or a commitment to a single customer."
According to NVIDIA, in some cases it may provide a residual-value support mechanism for up to 25% of an opportunity, assessed on a project-by-project basis.
According to a report from money.udn.com, TSMC's board approved a Q2 2026 cash dividend of NT$7 per share, unchanged from the prior quarter, and for the first time will let foreign shareholders elect to receive payouts in US dollars under revised regulations, cnyes.com reported.
According to Technews and CNA, France's APIG press alliance — representing more than 300 outlets — filed a complaint on August 11 over Google's AI Overviews, launched in France in July 2026. APIG cites 70% traffic dependency on Google, a Pew Research Center finding that AI summaries cut click-through rates from 15% to 8%, and a Le Figaro executive's report of 20%-50%-plus traffic declines abroad, while asking regulators to help reset negotiating terms rather than shut the tool down.
According to Cnyes News, Supermicro (SMCI) will report fiscal Q4 2026 results after the U.S. market close on Tuesday, August 11. The company raised its own gross margin guidance to 15%-17%, up from a prior 8.2%-8.4% range, backed by more than $60 billion in new orders. Bloomberg consensus projects EPS of $1.33 and revenue of $11.2 billion, versus $0.41 and $5.7 billion a year earlier.