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CoreWeave Extends Nvidia A100 GPU Deployment Until 2029: Legacy Chips Remain Profitable

CoreWeave Extends Nvidia A100 GPU Deployment Until 2029: Legacy Chips Remain Profitable

Photo: Tom's Hardware

Quick answer

CoreWeave has extended its contract to deploy Nvidia A100 GPUs until 2029, demonstrating that legacy chips retain profitability due to data center infrastructure constraints and sustained demand for AI compute power.

U.S.-based AI cloud provider CoreWeave, specializing in AI infrastructure, has signed a contract to deploy Nvidia A100 GPUs until 2029. These chips, launched in 2020 on the Ampere architecture, will continue generating revenue nearly a decade after their debut. The company reported record financial results: Q2 revenue reached $2.58 billion (up 112% year-over-year), with an order backlog exceeding $104 billion.

CoreWeave CEO Mike Intrator noted that rental costs for legacy GPUs remain stable or even higher than in previous years. This contradicts analyst concerns, including those from Michael Berry, about rapid chip obsolescence. Nvidia also confirmed that A100 GPUs maintain full utilization even six years after launch, with new contracts extending their lifecycle to nine years.

The primary driver behind the demand for older GPUs is data center infrastructure limitations. Modern solutions like Nvidia GB200 and GB300 require up to 140 kW of power per rack and liquid cooling, while existing facilities support only 20 kW with air cooling. Retrofitting such sites is economically unfeasible, leading providers to continue using proven solutions.

CoreWeave already holds contracts for 4.2 GW of capacity—nearly triple its current operational capacity. CFO Nitin Agrawal emphasized that the share of legacy GPUs in its portfolio is minimal, yet their value remains consistently high. This underscores sustained demand for AI compute power despite the emergence of new architectures.

Common questions

Why is CoreWeave continuing to use Nvidia A100 GPUs until 2029?
Nvidia A100 GPUs remain cost-effective due to data center infrastructure limitations: newer chips require significantly more power and liquid cooling, making upgrades economically unviable for existing facilities.
How long do GPUs typically last in data centers?
GPU lifespan in data centers ranges from 1 to 6 years. However, CoreWeave and Nvidia show that with proper maintenance, chips can remain viable even nine years after release.
What barriers prevent the adoption of newer GPUs?
Key barriers include power consumption and cooling. Modern GPUs like Nvidia Blackwell require up to 140 kW per rack, while older data centers support only 20 kW, making upgrades financially impractical.
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Prepared by the V-Help editorial team from the primary source with a published date.

Published by: V-Help.ru news desk

Source: Tom's Hardware