Nvidia (NASDAQ:NVDA) will face a major test when it reports results on Wednesday, with investors looking for evidence that its next-generation Rubin chips can sustain the company’s rapid growth while scrutiny increases over the financing behind the artificial intelligence infrastructure boom.
The chipmaker has emerged as the dominant beneficiary of massive investment in AI computing capacity. More recently, however, Nvidia’s use of billions of dollars to support companies within the wider AI ecosystem has raised questions about so-called circular financing arrangements and whether they could exaggerate underlying demand.
Nvidia shares have gained 11.8% so far this year but have underperformed several major technology rivals. The company also briefly lost its position as the world’s most valuable listed business to Apple last month.
Analysts surveyed by LSEG expect Nvidia’s second-quarter revenue to almost double year-on-year to $92.18 billion, which would represent its fastest growth rate in seven quarters.
Data centre sales are forecast to more than double, reflecting continued heavy spending on AI infrastructure by the world’s largest technology companies.
Attention is increasingly shifting towards Nvidia’s transition from its Blackwell architecture to its next-generation Vera Rubin processors. Initial Rubin shipments are expected to begin this autumn, making the pace of customer adoption an important consideration for the company’s future growth.
Big Tech data centre investment is expected to exceed $730 billion this year. Spending is also accelerating among smaller AI-focused cloud infrastructure providers such as CoreWeave (NASDAQ:CRWV), which has received backing from Nvidia.
Questions surrounding the sustainability of AI infrastructure investment have intensified following several large financing commitments involving Nvidia.
Earlier this month, the company helped arrange $500 billion of financing from six major U.S. financial institutions for customers developing AI infrastructure. Nvidia also agreed last week to guarantee up to $105 billion to support OpenAI’s lease of a large Ohio data centre over a 20-year period, representing one of the company’s largest AI-related financing commitments to date.
“This makes them a kind of central banking figure in the AI space,” said Brian Mulberry, chief market strategist at Zacks Investment Management, which owns Nvidia shares. “The real risk is total AI exposure with no diversification; the key for this to be successful is that adoption rates of AI tools must continue to grow.”
Chief Executive Jensen Huang has defended Nvidia’s strategy of using its balance sheet to support AI infrastructure expansion. His argument is that the company’s strong cash generation gives it the ability to help customers that are expanding quickly but remain loss-making.
Huang has also rejected suggestions that the Ohio agreement represents circular financing, arguing that OpenAI remains responsible for lease payments. Nvidia’s role, he said, is to help finance and secure the data centres, electricity supplies and other infrastructure required to operate its chips over several decades.
The successful introduction of Rubin is becoming increasingly important as Nvidia faces stronger competition in the AI inference market.
Major technology groups are developing their own custom AI processors, while Intel (NASDAQ:INTC) and AMD (NASDAQ:AMD) are also competing for workloads associated with inference, where AI systems process requests and perform automated tasks.
Morgan Stanley analysts estimate that Rubin products could generate almost $9 billion of sales during Nvidia’s third quarter ending in October.
“We expect the company to point to Rubin as unlocking a large improvement in AI factory economics over what is already the leadership platform in Blackwell,” the analysts said in a research note.
However, they cautioned that determining whether Nvidia can capture additional market share from AMD and custom processors developed by major technology companies will take longer.
Wall Street expects Nvidia to forecast third-quarter revenue growth of 82.8% to $104.20 billion, potentially taking quarterly sales above $100 billion as demand for AI computing infrastructure continues to expand.
Adjusted gross margins are expected to remain around 75% in both the second and third quarters.
Wednesday’s results will therefore be closely watched not only for Nvidia’s immediate financial performance but also for indications of Rubin adoption, competitive pressures and the sustainability of the broader AI investment cycle.
Investors will also be looking for reassurance that Nvidia’s increasingly prominent role in financing AI infrastructure is strengthening long-term demand rather than creating additional financial risks within an already heavily interconnected AI ecosystem.
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