Former Senior Finance Role at Nebius Group says,&#

Former Senior Finance Role at Nebius Group says,

"The problem of CoreWeave is their business model is sign a contract and then allocate data centres, then allocate GPUs and buy the GPUs they don't have and then start project management. The whole cycle within CoreWeave is about 24 months. The majority of their revenue, maybe 95% or more is still Hopper revenue."

"There are neoclouds like Nebius who do it a bit different. We were building data centre capacity, buying GPUs without knowing to whom we're going to sell it to. Coreweave only start working when they have a signed contract and then they're going to look for the data centre capacity and the GPUs, which is fully hedged. It's like without risk, you have always a coverage by a five-year contract. The disadvantage is you can't monetise fast."

> Revenue per Gigawatt Trends & Waves: Revenue per gigawatt does not decline in a straight line; instead, it moves in cycles tied to GPU generations. Prices spike at the launch of a new GPU generation (like Blackwell or Vera Rubin) and then gradually decrease over time within multi-year contracts. CoreWeave’s revenue per gigawatt has decreased over recent quarters because older contracts signed during peak Hopper pricing are rolling alongside newly added capacity at lower rates.

> Business Model Differences (CoreWeave vs. Nebius):

CoreWeave follows a risk-hedged model where they sign multi-year contracts (typically five years) with major customers first, and then procure data center space and Nvidia GPUs.

Nebius often builds out data center capacity and secures hardware proactively before locking down every final end customer, allowing them to monetize faster and cater to urgent capacity needs or mid-sized enterprises.

> Long-Term Outlook on Hyperscalers: Nebius anticipates that hyperscalers (like Microsoft and Meta) will only utilize neoclouds as stopgaps for five to eight years until they fully internalize their own infrastructure. Consequently, Nebius is positioning itself as a "mini hyperscaler" targeting enterprises, European entities seeking data sovereignty away from U.S. jurisdiction, and diverse corporate clients.

> Memory Pricing & Unit Economics Impact: Memory prices (such as high-bandwidth memory) cannot typically be locked in when striking multi-year customer agreements. However, memory accounts for a relatively small percentage of overall unit economics (e.g., roughly 2% to 3% historically), meaning even a 2x-3x price spike only minorly impacts contribution margins. Neoclouds offset these headwinds through advanced natural air and water cooling (saving up to 30% on power costs) or by slightly extending GPU depreciation timelines (e.g., from 5 to 5.5 or 6 years).

> Data Center Outfitting Timelines: For a standard 50MW greenfield powered shell, outfitting and bringing servers online takes about two months, while larger 300MW sites with roughly 90,000 GPUs take 3 to 4 months. While moving from Hopper to Blackwell requires similar configuration windows (around 6 to 10 weeks), upcoming Vera Rubin chips are vastly more powerful and thermally intense, meaning older colocation sites will struggle to handle them without expensive retrofits.

> Financing & Profitability Realities: CoreWeave utilizes heavy debt financing (such as recent deals at a 9.5% interest rate), creating a large interest expense burden. While CoreWeave anticipates operating margins jumping significantly as new capacity comes online, the expert is skeptical of rapid jumps (such as 1% to 16% in the short term) given high capital costs and market impatience regarding profitability.

> GPU Utilization Targets: Neoclouds actively target high capacity utilization rates exceeding 90% (often 94% to 95%) on external customer data centers to maintain competitive pricing against hyperscalers, who typically settle for 75% to 80%.

$Nebius(NBIS.US) $Coreweave(CRWV.US)