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Nebius
Public AI cloud for training and inference with published NVIDIA GPU instance rates, managed Kubernetes/Slurm options, and rapidly scaling capacity.
Teams that need NVIDIA GPU VMs or clusters with a published price card and managed Kubernetes or Slurm for AI workloads.
Buyers seeking colo white space only, or edge silicon for on-device inference.
Verdict
Nebius fits when you want an AI-focused GPU cloud with clear on-demand SKUs (H100, H200, B200, and peers) and optional commitments up to mid-thirties percent off list. Managed Kubernetes and Slurm-on-Kubernetes reduce glue work versus raw bare metal. Model total spend on storage and multi-month reservations before you assume list GPU-hours are the bill. Skip it for facility colo or edge AIPU designs.
Score Breakdown
How Nebius scores in the categories that matter to its buyers.
Pricing
Nebius publishes on-demand and preemptible NVIDIA GPU-hour rates on nebius.com/prices. Prices below are on-demand USD per GPU-hour as of September 2026. Commitment discounts are marketed up to about 35% off on-demand for multi-month reserved clusters.
| Plan / SKU | Meter | Price (USD) | What stands out |
|---|---|---|---|
| HGX H100 | per GPU-hour | $3.85 | On-demand; preemptible lower |
| HGX H200 | per GPU-hour | $4.50 | On-demand high-memory |
| HGX B200 | per GPU-hour | $7.15 | Blackwell-class on-demand |
| HGX B300 | per GPU-hour | $7.85 | Top published on-demand SKU |
| RTX PRO 6000 | per GPU-hour | $1.80 | Lower-cost inference/train option |
| Shared filesystem | per GiB-month | $0.08 | Nebius shared FS |
The Field at a Glance
Where Nebius sits among GPU & AI clouds vendors we reviewed, by Overall Score and relative typical engagement cost.
Nebius is strongest for teams that need NVIDIA GPU VMs or clusters with a published price card and managed Kubernetes or Slurm for AI workloads. It leads this peer set on Overall Score at 8.3. Relative typical engagement cost sits mid-pack versus the peers on this chart.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| On-demand NVIDIA GPU VMs | Strong | Nebius publishes a price card for several GPU SKUs. |
| Committed large clusters | Strong | Commitments earn discounts of up to about 35%. |
| Managed K8s / Slurm for AI | Strong | Nebius offers managed Kubernetes and Slurm. |
| Self-serve hobby single GPU | Mixed | It needs a cloud account and is built for more than hobby use. |
| Colo / facility lease | Poor | Nebius sells compute and does not lease facility space. |
| Edge on-device silicon | Poor | Nebius is not an edge silicon vendor. |
Review Excerpts
Excerpts from company materials and public coverage of Nebius, plus representative buyer views drawn from public information. Paid reviews and pay-for-play sites were excluded.
“Pay up to 35% less than on-demand rates by reserving large-scale clusters for multiple months, while keeping on-demand SKUs for burst.”
“Nebius AI cloud revenue scaled sharply through 2025 as new regions and next-generation GPUs came online for startups, enterprises, and later hyperscaler agreements.”
“Public GPU prices and managed Kubernetes meant we could estimate a cluster bill before talking to sales.”
Representative buyer view
“On-demand Blackwell prices were high in absolute dollars, and without a commitment our training spend rose with every experiment.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Nebius’ price list and Nebius’ website
Key Leadership
Arkady Volozh
Founder and CEO
Methodology
This page is an independent evaluation of Nebius for buyers comparing options in GPU & AI clouds. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Nebius did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for GPU & AI clouds)
- GPU SKU breadth
- Public price card clarity
- Platform services (K8s / Slurm)
- Enterprise contracting
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Nebius is graded here as GPU & AI clouds. Criteria scores can move as more review volume and product checks are added.