Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. CEO Jensen Huang said Wednesday that the company's older AI chips can remain economically useful for nearly a decade, pushing back against concerns that rapid advances in AI could quickly make GPUs obsolete. Huang said on X that Nvidia's A100 fleet is "mission-capable from 2020 through 2029," highlighting the longevity of the company's data center GPUs.
The A100 debuted in 2020 as part of Nvidia's Ampere generation. A single bad hire can set a startup back years. Here are the 5 hires founders most often misjudge — and why Still Learning the Market?
These 50 Must-Know Terms Can Help You Catch Up Fast "NVIDIA computing is more than chips," Huang said, pointing to the company's CUDA software platform as a key reason its hardware can remain useful across generations. "CUDA makes NVIDIA computing versatile," he added. "Versatility makes it fungible.
Fungibility drives utilization and extends durability." His comments came after reposting a Business Insider report about the continued demand for the five-year-old A100. The mighty A100 fleet are mission-capable from 2020 through 2029. NVIDIA computing is more than chips.
CUDA gives developers and NVIDIA engineers a common platform to continually upgrade Ampere, Hopper and Blackwell throughout their useful lives.CUDA makes NVIDIA computing… https://t.co/KQ1kp7Vpae — Jensen Huang (@JensenHuang) August 13, 2026 Trending: Avoid the #1 Investing Mistake: How Your 'Safe' Holdings Could Be Costing You Big Time Huang's comments followed a disclosure from AI cloud provider CoreWeave Inc. that it signed a contract to rent Nvidia A100 GPUs through 2029 at what CFO Nitin Agrawal described as an "attractive price." That means the 2020-era chips could still generate revenue nearly nine years after launch, despite several newer Nvidia GPU generations entering the market. The development challenges a key concern among AI infrastructure bears that accelerating chip improvements could cause older GPUs to lose their economic value within two or three years. Older GPUs can remain useful by shifting from the most demanding AI workloads to inference, smaller models and other applications that do not require the latest hardware, the BI report stated.
See Also: Skip the Regrets: The Essential Retirement Tips Experts Wish Everyone Knew Earlier. Rental-market data also supports CoreWeave's assessment. Silicon Data, which tracks GPU rental prices, on Tuesday said A100 rates have remained resilient following a strong rebound in 2026.
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