Nebius's own TCO page says "GPU-hour pricing is the most visible metric in AI infrastructure, and often the most misleading", and the SemiAnalysis study it commissioned found Nebius the lowest TCO in all three workloads, with AWS up to 113% more expensive. But the pricing page shows only GPU-hour rates (H100 $4.50, B200 $8.50) with no link to the study, no reliability numbers and no mention of SLAs, and the homepage does not link the study either. The buyer comparing rate cards side by side sees exactly the number Nebius says is misleading. The new Principal PMM, Enterprise is hired to build "ROI/TCO tools" for this moment.
First action
Add a link to the TCO study above the GPU price table.
How to measure it
TCO study requests and TCO reviews booked from /prices
- Now
- –
- Target
- +40%
- By
- 90 days
Steps
Agree the claims
Which SemiAnalysis and Revolut figures to show, with footnotes.
Principal Product Marketing Manager - Enterprise 2 days
Design the panel
Above the GPU table, with the study link.
DevRel Communications Designer 3 days
Build the estimator
GPUs, months, utilization, downtime cost.
Web team 2 weeks
Route requests
Study downloads and TCO reviews to enterprise SAs.
Sales Operations Specialist 2 days
Add to the homepage
Link the Revolut TCO numbers to the study.
Web team 1 day
Enable the field
Same estimator in first-call decks.
Principal Product Marketing Manager - Enterprise 1 week
Measure
Requests, reviews and pipeline from /prices.
Sales Operations Specialist monthly
Why it works
Add a "Compare total cost, not just GPU-hours" panel to /prices: the three SemiAnalysis results, the Revolut TCO figures and the fleet MTBF/MTTR from the homepage, a link to the study, and a simple estimator (GPUs, months, expected utilization, downtime cost) that shows cost per completed job. Offer the full study and a TCO review with a solutions architect as the next step, and track it as an enterprise lead source.
Price pages get the highest-intent traffic on any cloud site. Showing the total-cost argument there turns a rate comparison Nebius may lose on headline price into one it wins, and gives sales a link for every procurement conversation.
Ready to use
ChecklistPricing page TCO panel
[ ] Headline: compare total cost, not GPU-hours [ ] Three SemiAnalysis results with footnote [ ] Revolut: 43% (fine-tuning), 112% (inference) better TCO vs AWS [ ] Fleet MTBF and MTTR [ ] Estimator: GPUs, months, utilization, downtime cost [ ] Link to full study [ ] Book a TCO review with an SA
Risks and how to handle them
Competitors dispute the numbers
Cite the method and date; link the independent study.
Estimator oversimplifies
Show ranges and offer an SA review for real workloads.
Evidence
- Your websiteTCO study page: "GPU-hour pricing is the most visible metric in AI infrastructure - and often the most misleading." Nebius commissioned SemiAnalysis to model three workloads: "Across all three scenarios, Nebius delivered the lowest TCO. AWS was 9% more expensive on a TCO-adjusted basis when GPU-hour pricing was held constant, and up to 113% more expensive" on real-world pricing. The full study is behind a form; neither the homepage nor the pricing page links to this page.Source
- Your websitePricing page: on-demand GPU-hour rates (HGX H100 $4.50, H200 $5.40, B200 $8.50, B300 $9.50; preemptible from $0.79), "Commitment discounts" via sales, free egress and ingress, free managed Kubernetes and Soperator. The page does not link the TCO study and does not mention SLAs or reliability.Source
- Your websiteHomepage: "The Ultimate AI Cloud"; "Free white-glove PoC", "24/7 support by default", "500+ AI experts"; the Revolut panel cites "43% better TCO for fine-tuning vs. AWS", "112% better TCO for inference vs. AWS", "56.6 hrs mean time between failures for 3,000 GPUs" and "12 min mean time to resolution"; Shopify appears as a video; a banner notes SemiAnalysis rated Nebius Platinum in ClusterMAX 3.0.Source
- HiringPrincipal Product Marketing Manager - Enterprise (United States, posted October 14, 2026): owns "the 6-18-month enterprise buying cycle" for "CIOs, CTOs, Chief Data/AI Officers, CISOs, VPs of Infrastructure, security and procurement teams"; builds the business case on "total cost of ownership, reliability and SLAs, security and compliance, data sovereignty and residency, migration risk, and vendor lock-in"; delivers "ROI/TCO tools" and "competitive positioning against hyperscalers and neoclouds"; works with ABM platforms "such as 6sense or Demandbase"; measured in "win rates, pipeline influenced, and field adoption, not assets shipped".Source