Nebius vs Nscale: Complete Comparison (2026)
An in-depth comparison of Nebius and Nscale to help you choose the right tool for your business.
Last updated: November 2026
Nebius
6.6/10
Nebius is an AI-focused cloud that rents NVIDIA GPU instances and clusters by the hour, with managed Kubernetes, Slurm, storage and inference services for ML teams.
Nscale
6.3/10
Nscale is an AI-focused cloud provider that rents dedicated GPU clusters, managed Kubernetes and serverless model inference to AI developers and large enterprises.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 6.6/10 | 6.3/10 |
| Analytics | 6/10 | 4/10 |
| Cost | 7/10 | 7/10 |
| Customization | 7/10 | 7/10 |
| Ease of Use | 6/10 | 6/10 |
| Integration | 6/10 | 6/10 |
| Scalability | 8/10 | 9/10 |
| Security | 8/10 | 6/10 |
| Support | 5/10 | 5/10 |
| Pricing | ||
| Free plan | No | No |
| Cheapest paid plan | Contact for pricing | Contact for pricing |
| Estimated cost for 10 users | Contact for pricing | Contact for pricing |
| Features | ||
| API and CLI | ||
| Managed Databases | Not listed | |
| Managed WordPress | Not listed | |
| Multiple Regions | ||
| Object Storage | Not listed | |
| Serverless Functions | ||
| Managed Kubernetes | ||
| Cloud Compute | Not listed | |
| Shared Hosting | Not listed | |
| Dedicated Servers | Not listed | |
Which One Should You Choose?
Why choose Nebius
- Higher Analytics score (6/10 vs 4/10)
- Higher Security score (8/10 vs 6/10)
- Better fit for startups (8/10 vs 6/10)
Why choose Nscale
- Higher Scalability score (9/10 vs 8/10)
Pros & Cons
Nebius
Pros
- Newest NVIDIA hardware, including B300 and GB300 NVL72, is listed with published per-hour prices.
- Network egress, ingress and public IPs are free, which removes a common hidden cost on hyperscalers.
- The certification list is broad: SOC 2 Type II, SOC 3, several ISO standards including 27001 and 42001, and CSA STAR.
- EU data centers in Finland and Paris help with GDPR and data residency.
- Infrastructure as code is fully supported through a CLI, a Terraform provider, gRPC and REST APIs, and SDKs.
Cons
- The catalogue is narrow outside AI. The only managed database is PostgreSQL, and there is no CDN or web hosting.
- Some users report slower support responses than AWS or CoreWeave.
- Users note documentation gaps for advanced setups.
- Kubernetes and Slurm workflows assume DevOps expertise.
- Commitment pricing and the largest clusters require contacting sales.
Nscale
Pros
- The serverless inference API is OpenAI-compatible, so existing SDK code can switch over with minimal changes.
- New inference users get 5 USD of free credit and pay only per token, with no commitment.
- Its own data centers in Norway and the UK give European buyers a sovereignty-friendly option.
- Billions of USD in 2026 funding support very large GPU cluster buildouts.
Cons
- There is no public price list for dedicated GPU clusters, so cost comparison means going through sales.
- It offers no general web hosting services such as WordPress, CDN or managed databases.
- Independent user reviews are almost nonexistent: directory sites list no ratings.
- The company is young (founded 2024) and reported heavy losses in the first half of 2026.
Not sold on either?
Frequently Asked Questions
Nebius scores higher on our AI Software criteria: 6.6/10 against 6.3/10 for Nscale. The largest gap is in Analytics: 6/10 for Nebius and 4/10 for Nscale.
No, neither Nebius nor Nscale lists a free plan.
Nebius is the better fit for startups: we rate it 8/10 for them, against 6/10 for Nscale.
