NVIDIA's Older GPUs Still Earn Rent. What That Does and Doesn't Prove for CoreWeave

Yahoo Finance ·

NVIDIA Corporation's older accelerators continue to command rental prices, challenging the notion of rapid hardware obsolescence. A September 7 benchmark set NVIDIA's H100 SXM at $3.17 per GPU-hour and the legacy A100 SXM4 at $1.05. While this extended revenue lifespan bolsters confidence in NVIDIA's computing ecosystem, the implications for CoreWeave, Inc., which sells computing infrastructure access, are far more complex. CoreWeave's August 11 financial results highlighted this divide, reporting second-quarter revenue of $2.575 billion and adjusted EBITDA of $1.510 billion, alongside a $626 million net loss and $640 million in net interest expense. Positive market rental rates do not automatically guarantee that equipment cash flows will adequately cover power, facilities, operations, and financing costs. Furthermore, short-interest data from August 14 revealed a stark contrast, with 1.23 percent of NVIDIA's float sold short compared to 16.92 percent for CoreWeave. Ultimately, while hardware durability supports NVIDIA's market position, investors in infrastructure providers need concrete proof that profitable margins will follow operational costs.

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NVIDIA's older H100 SXM and A100 SXM4 accelerators recorded rental rates of $3.17 and $1.05 per hour, respectively, proving the long-term value of the hardware. However, CoreWeave posted a net loss of $626 million despite $2.575 billion in Q2 revenue, highlighting the heavy burden of high financial and operational costs. Investors must closely examine not only the residual value of older chips but also the ability to generate net income after deducting actual costs.

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NVIDIA's older GPUs continue to generate high rental revenue, alleviating concerns over rapid hardware obsolescence and strengthening ecosystem trust. However, infrastructure businesses involving massive financial and operating expenses, as seen in the case of CoreWeave, suggest that simple hardware lifespan does not directly translate to shareholder value.

The bullish scenario is that continuous high-value AI workload demand improves margins for infrastructure companies, while the bearish scenario is that power and financing costs exceed rental revenues, entrenching deficits. Key metrics to watch are utilization rates and cash flow after accounting for net interest expenses and depreciation.

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