CoreWeave proves Nvidia’s aging AI GPUs from 2020 can generate profit nine years after deployment, signs A100 contracts into 2029 — power constraints and legacy

CoreWeave proves Nvidia's aging AI GPUs from 2020 can generate profit nine years after deployment, signs A100 contracts into 2029 — power constraints and legacy

Michael Burry accused hyperscalers in November of understating depreciation by $176 billion between 2026 and 2028 by stretching GPU useful-life assumptions to five or six years against a chip cadence that now delivers a new Nvidia architecture roughly every year. Concerns that accelerating GPU obsolescence could unravel AI financing predate his estimate, and an unnamed Google architect put datacenter GPU service life at one to three years back in 2024.

Intrator told CNBC at the time that a batch of H100s coming off an expired contract was immediately rebooked at 95% of the original price, and Nvidia CFO Colette Kress countered Burry directly, saying A100s sold six years ago still run at full utilization. The 2029 deal stretches that record further, putting contracted revenue on 2020 silicon beyond even the six-year depreciation schedules defended by hyperscalers.

An air-cooled Nvidia DGX A100 system draws 6.5kW at maximum load and fits comfortably in legacy data center halls designed for roughly 20kW per rack. Nvidia's current GB200 and GB300 NVL72 racks draw 120kW to 140kW and require direct-to-chip liquid cooling , roughly six times what those older facilities can feed and cool. Blackwell therefore can't move into the halls where Ampere is currently deployed without a rebuild of power delivery and cooling infrastructure.

That mismatch is helping to keep A100 fleets in service regardless of how gracefully or not silicon itself ages. The energized, air-cooled capacity holding them has no higher-value use, and renting nine-year-old GPUs is a better alternative to leaving it in the dark.

China black market Nvidia prices rocket in wake of smuggling crackdown and customs freeze

AMD to supply Anthropic with 2 gigawatts of Instinct MI450 GPUs

Key considerations

  • Investor positioning can change fast
  • Volatility remains possible near catalysts
  • Macro rates and liquidity can dominate flows

Reference reading

More on this site

Informational only. No financial advice. Do your own research.

Leave a Comment