Own US-based AI infrastructure

Buy an NVIDIA-powered GPU server you own. We build it by hand in Eugene, Oregon and host it; you choose how it runs, and you keep 85% of what it earns.

How it works

You configure and buy it. Pick the GPU, memory and storage, and whether it racks with us or ships to you. It is yours outright.
We build and host it. Hand-built in Eugene, Oregon and racked in our facility: 24/7 power, cooling, and on-site engineering.
You choose how it runs. Earning, under the offtake contracts we hold, and you keep 85% of what it earns; or private, running your workloads alone for a flat monthly fee.

You hold title, and you have root on the machine. Monetizing is an option, not an obligation.

Earnings depend on marketplace demand: projections, not guarantees.

Machines

NVIDIA H200 NVL: buy now at $54,516, or rent-to-own with $16,355 down
NVIDIA RTX PRO 6000 Workstation: buy now at $27,941
NVIDIA RTX PRO 6000 Server Edition: buy now at $31,301
NVIDIA RTX 5090: buy now at $6,694

Own it, don't rent it

Cloud rent is a metered bill that never ends and buys you nothing. A machine you own stays yours, and earns whenever you make it available. Hosting it with us costs a fraction of that rent, and on an earning machine it comes out of what the machine makes rather than out of your pocket.

There's a tax difference too: cloud rent is 100% expense, forever. A machine you own is a depreciable business asset. How that applies to you depends on your situation; consult your tax advisor.

Your models run on hardware you own in a US facility you can name: weights, keys, and data never leave machines you control. Hand-built GPU clusters, US-assembled by Andromeda, with N+1 redundant power. Hosted GPUs for Stanford Blockchain, Penn Blockchain, NYU, and Dartmouth Blockchain.

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Do GPUs hold their value?

GPUs keep earning for far longer than they keep their hourly rate. A card from 2020 still has contracted revenue in 2029, and NVIDIA says those cards run at full utilisation today, but what an hour on one costs fell roughly 80% from the 2023 scarcity peak before recovering.

What an H100 hour has cost

Period	Quoted rate	Basis
2023	$8.00/hr	Scarcity-era on-demand
2024–25	$1.50/hr	On-demand, midpoint of a $1–2 range
Oct 2025	$1.70/hr	1-year committed contract
Mar 2026	$2.35/hr	1-year committed contract
Aug 2026	$2.19/hr	Entry on-demand

Depreciation schedules

Company	Useful life	Note
Microsoft	6 years	Raised from 4 years in Q4 FY2022
Alphabet	6 years	Normalised to 6 years by 2023
CoreWeave	6 years	Now has A100 revenue contracted past it
Amazon	5 years	Cut from 6 for a subset of servers, citing AI's pace

The case that they last

A GPU that launched in 2020 has revenue contracted into 2029, a nine-year earning life.: “CoreWeave signed a contract for Nvidia A100 GPUs that runs into 2029, nine years after the Ampere SKU debuted.” (Mike Intrator, CoreWeave CEO, on the Q2 earnings call)
NVIDIA says six-year-old silicon is not sitting idle. It is fully utilised.: “Thanks to CUDA, the A100 GPUs we shipped six years ago are still running at full utilization today, powered by a vastly improved software stack.” (Colette Kress, NVIDIA CFO)
Hardware coming off contract re-rents close to its original price rather than at a discount.: “A batch of H100s coming off an expired contract was immediately rebooked at 95% of the original price.” (Mike Intrator, CoreWeave CEO, to CNBC)
The software stack, not the silicon, sets the retirement date: CUDA compatibility keeps older cards in the fleet.: “CUDA's compatibility and our massive installed base extend the life in our systems well beyond their original estimated useful life.” (Colette Kress, NVIDIA CFO)

The case against

A prominent short-seller argues the six-year schedules are accounting, not engineering, and that the industry is overstating earnings as a result.: “Understating depreciation by extending useful life of assets artificially boosts earnings.” (Michael Burry, who put the effect at $176bn across hyperscalers between 2026 and 2028)
One hyperscaler moved the other way: Amazon SHORTENED the life of some servers from six years to five, citing the pace of AI hardware.: “An increased pace of technology development, particularly in the area of artificial intelligence and machine learning.” (Amazon, in a February filing)
Rental rates for a current-generation card can fall hard and fast. H100 hourly pricing collapsed from its 2023 scarcity peak as supply caught up.: “Rental costs dropped from $8 per hour in 2023 to $1–$2 in 2024 and 2025 due to oversupply.”
NVIDIA ships a new architecture roughly every year, which is faster than any of these depreciation schedules.

Sources

CoreWeave signs A100 contracts into 2029, nine years after deployment · Tom's Hardware, August 2026
The question everyone in AI is asking: How long before a GPU depreciates? · CNBC, 14 November 2025
NVIDIA Q3 FY2026 earnings call transcript · NVIDIA / Rev, November 2025
Resetting GPU depreciation: why AI factories bend, but don't break, useful life assumptions · SiliconANGLE, 22 November 2025
AI GPU rental market trends, August 2026 · Thunder Compute, August 2026
GPU rental price index · GetDeploying, Accessed August 2026
H100 rental price over time (2023–2025) · Silicon Data, 2025

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