NVIDIA CorporationNVDA is taking a major step to accelerate the AI infrastructure buildout by partnering with six leading financial institutions to create financing platforms that could mobilize more than $500 billion of third-party capital over time. The partnerships involve Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR.
The initiative could become an important growth catalyst because financing has emerged as a key hurdle for customers seeking to build large AI factories. By connecting customers with long-term capital, NVIDIA aims to make it easier for AI labs, enterprises and AI cloud providers to expand computing capacity. This could translate into stronger demand for NVIDIA’s graphics processing units (GPUs), networking products and software.
The strategy also creates a potentially longer revenue runway. NVIDIA describes its compute as an asset that can remain useful across different customers and workloads, with its CUDA software ecosystem helping extend its economic life. This flexibility could make NVIDIA-based infrastructure more attractive to investors and operators financing large projects.
The $500 billion figure represents capital that financing platforms aim to mobilize, not revenues or funding directly provided by NVIDIA. Still, if the initiative successfully lowers financing barriers, it could expand the number and scale of AI factories using NVIDIA technology. This would strengthen hardware demand while increasing software adoption, potentially supporting NVIDIA’s long-term revenue growth.
In the first quarter of fiscal 2027, NVIDIA’s revenues surged 85% year over year to $81.62 billion. Management’s expectations of $91 billion in revenues for the second quarter indicate year-over-year growth of approximately 95%. The Zacks Consensus Estimate for fiscal 2027 revenues is currently pegged at $387.93 billion, calling for a nearly 80% year-over-year increase.
Could Rivals Challenge NVIDIA’s AI Financing Edge?
NVIDIA’s financing strategy could widen its lead, but Advanced Micro Devices, Inc.AMD and Broadcom Inc.AVGO are building strong alternatives for customers investing in AI infrastructure.
Advanced Micro Devices’ Data Center business generated $6.72 billion in second-quarter 2026 revenues, up 107% year over year, driven by EPYC CPUs and Instinct GPUs. The company is also expanding large-scale partnerships, including a plan with Meta to deploy up to 6 gigawatts of Instinct GPUs. Advanced Micro Devices and Tata Consultancy Services are co-developing a 200MW deployment of the AMD "Helios" open rack-scale AI architecture in India.
Broadcom is taking a different route by focusing on custom AI accelerators and networking. Its approach allows large technology companies to build chips tailored to specific workloads, potentially reducing reliance on general-purpose GPUs. This could become important as AI infrastructure spending expands and customers look for multiple ways to finance and deploy computing capacity. In the second quarter of fiscal 2026, Broadcom’s revenues soared 48% year over year to $22.19 billion.
NVIDIA, however, has a notable advantage in the financing initiative. The recent collaboration with top financial institutions will potentially make NVIDIA-based AI factories easier to fund.
Advanced Micro Devices and Broadcom can compete through alternative hardware and infrastructure solutions, but NVIDIA’s combination of technology, CUDA software and access to large pools of capital could strengthen its position as AI spending enters another major investment cycle.
NVIDIA’s Price Performance, Valuation and Estimates
Shares of NVIDIA have risen around 16.6% year to date, underperforming the Zacks Computer and Technology sector’s gain of 17.7%.
NVIDIA YTD Price Return Performance
Image Source: Zacks Investment Research
From a valuation standpoint, NVDA trades at a forward price-to-earnings ratio of 19.91, below the sector’s average of 21.53.
NVIDIA Forward 12-Month P/E Ratio
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for NVIDIA’s fiscal 2027 and 2028 earnings implies a year-over-year increase of approximately 90.6% and 38.3%, respectively. Estimates for fiscal 2027 and 2028 have been revised upward over the past 30 days.
The AI revolution has already minted millionaires. But the stocks everyone knows about aren't likely to keep delivering the biggest profits. AI’s second wave is moving from infrastructure to implementation and these companies are at the forefront of this transition, positioned to become what Amazon and Google were to the internet era.
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