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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 ranks among GPU & AI clouds vendors we reviewed, by Overall Score and relative typical engagement cost.
Nebius ties CoreWeave at 8.1 Overall and is above Fluidstack (7.4) in this GPU-cloud set. Relative engagement cost is mid-to-high for on-demand NVIDIA SKUs, with commitment discounts pulling effective cost down.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| On-demand NVIDIA GPU VMs | Strong | Published multi-SKU card. |
| Committed large clusters | Strong | Up to ~35% commitment discount. |
| Managed K8s / Slurm for AI | Strong | Platform services included. |
| Self-serve hobby single GPU | Mixed | Cloud account required; not a toy pod shop. |
| Colo / facility lease | Poor | Compute cloud, not white space. |
| Edge on-device silicon | Poor | Wrong category. |
Who it’s for
Good fit
- AI platform teams that want list prices and K8s/Slurm
- Workloads that mix on-demand burst with reserved baseload
- Buyers comparing neoclouds with audited-scale operators
Poor fit
- Facility colo shoppers
- Edge AIPU / MCU designs
- Teams that only need a consumer chat API
Review Excerpts
Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.
“I can budget the GPU cluster because Nebius keeps the price predictable.”
“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 doesn’t charge extra for managed Kubernetes or managed Slurm. We only pay for the machines underneath, which is how we wanted it priced.”
“Nebius on-demand Blackwell-class rates were high in absolute dollars. Without a commitment, our training spend tracked every experiment.”
“Nebius AI cloud revenue scaled sharply through 2025 as new regions and next-generation GPUs came online for startups, enterprises, and later hyperscaler agreements.”
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 such as Clutch 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 fit pattern described above.
Scope
Nebius is graded here as gpu & ai clouds. Criteria scores can move as more review volume and product checks are added.