Nvidia CEO Jensen Huang is using concrete market data to rebut concerns from short-seller Michael Burry about whether the company's chips represent genuine economic value or inflated hype. Huang highlighted that H100 GPU rental rates jumped 22% month-over-month to $3.28 per hour as of September 8, arguing this demonstrates his chips are productive assets generating real returns rather than speculative investments.

What Is Michael Burry's Bear Case Against Nvidia?

Burry, who runs Scion Asset Management and gained fame for his role in "The Big Short," has maintained short positions on Nvidia stock since late 2025. His core criticism centers on what he calls "circular financing," a claim that Nvidia is essentially helping fund the very customers who purchase its chips.

The specific focus of Burry's concern is Nvidia's credit support tied to an OpenAI data center project in Ohio. According to Nvidia's second-quarter 10-Q filing, that credit guarantee caps out at $105 billion, backing a facility with a 4.25 gigawatt IT load. Burry argues that AI infrastructure spending is running ahead of actual returns, and that Nvidia sits at the center of this imbalance.

How Is Huang Defending Nvidia's Business Model?

Huang has reframed Nvidia's GPUs as "fungible, durable and highly rentable," treating them less like depreciating tech equipment and more like productive capital assets that generate ongoing revenue for their owners. This framing is central to his counter-argument against Burry's skepticism.

On the question of how long these chips remain useful, Nvidia has pointed to actual GPU utilization patterns. The company says its chips typically remain in productive service for four to six years, which would make them longer-lived assets than critics assume. Additionally, Nvidia CFO Colette Kress has argued that the company's credit arrangements are designed to secure necessary infrastructure rather than artificially inflate chip sales.

The rental rate data Huang highlighted supports this narrative. Rising rental costs suggest that demand for GPU computing power continues to outpace supply, validating the thesis that infrastructure investment is meeting genuine market needs rather than speculative excess.

What Other Factors Support Nvidia's Growth Story?

Beyond the rental rate debate, Nvidia's financial performance has remained robust. The company reported quarterly revenue of $96 billion, representing 106% year-over-year growth, with data center sales reaching $89 billion. Nvidia also guided next-quarter revenue to approximately $108 billion.

The company has expanded its ecosystem beyond its largest customers. Nvidia invested in Firmus, which signed a multiyear deal to supply OpenAI from two Malaysian data centers and will deploy Nvidia Vera Rubin processors across Firmus's Asia-Pacific facilities. Additionally, Nvidia funded Mistral AI to support model training and frontier AI research, expanding potential customers for Nvidia's chips and growing its AI compute ecosystem beyond OpenAI and Anthropic.

Wall Street analysts have maintained bullish positions on Nvidia stock. Buy ratings remain common, with price targets ranging from $300 to $390, with consensus near $349.15. Citigroup recently raised its target to $315.

Ways to Evaluate Nvidia's Valuation Amid the Debate

• GPU Utilization Metrics: Track whether rental rates continue climbing or plateau; rising rates validate demand sustainability, while declining rates would support Burry's overbuilding concerns.
• Credit Exposure Risk: Monitor Nvidia's actual credit losses on the $105 billion guarantee; if AI spending slows meaningfully, the company faces dual exposure through reduced chip orders and potential guarantee claims.
• Asset Longevity Data: Assess whether Nvidia's claim of four to six year productive service life holds up in practice; longer asset life supports the "durable capital" thesis, while faster depreciation would favor Burry's skepticism.
• Customer Diversification: Evaluate whether Nvidia successfully expands beyond OpenAI and Anthropic; broader customer concentration reduces single-project risk and strengthens the case for sustainable demand.

The $105 billion credit support figure is genuinely enormous, and the concentration of risk is notable even if the arrangement is structured as standard project finance. If AI spending were to slow meaningfully, Nvidia would face exposure on both the revenue side through reduced chip orders and the credit side through guarantees on projects that might struggle to generate sufficient returns.

"The GPUs are renting just fine," Huang indicated through his public statements highlighting the 22% month-over-month surge in H100 rental rates.

Jensen Huang, CEO at Nvidia

For investors tracking the AI infrastructure cycle, the key metric to watch is exactly what Huang highlighted: GPU utilization and rental economics. If rental rates continue climbing, it validates the thesis that demand is real and sustainable. If rates plateau or decline, Burry's warnings about overbuilt capacity start to carry more weight.

The debate between Huang and Burry ultimately hinges on whether AI infrastructure spending reflects genuine economic returns or speculative excess. Huang's rental rate data provides one lens for evaluating this question, but the broader picture depends on whether AI applications continue generating sufficient value to justify the massive capital investments now flowing into data centers and computing infrastructure.