Nebius vs NVIDIA DGX Cloud: Complete Comparison (2026)
An in-depth comparison of Nebius and NVIDIA DGX Cloud 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.

NVIDIA DGX Cloud
5.9/10
A managed AI training and inference platform on NVIDIA GPU clusters hosted with major clouds and NVIDIA Cloud Partners. It is aimed at enterprises and AI developers.
Feature-by-Feature Comparison
| Feature | ![]() | ![]() |
|---|---|---|
| Scores | ||
| Overall Rating | 6.6/10 | 5.9/10 |
| Integration | 6/10 | 7/10 |
| Analytics | 6/10 | 5/10 |
| Customization | 7/10 | 6/10 |
| Ease of Use | 6/10 | 5/10 |
| Support | 5/10 | 8/10 |
| Cost | 7/10 | 3/10 |
| Scalability | 8/10 | 9/10 |
| Security | 8/10 | 7/10 |
| 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 | Not listed | |
| Cloud Compute | ||
| Shared Hosting | Not listed | |
Which One Should You Choose?
Why choose Nebius

- Higher Cost score (7/10 vs 3/10)
- Higher Analytics score (6/10 vs 5/10)
- Better fit for startups (8/10 vs 5/10)
Why choose NVIDIA DGX Cloud

- Higher Support score (8/10 vs 5/10)
- Higher Integration score (7/10 vs 6/10)
- Better fit for enterprise (9/10 vs 7/10)
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.
NVIDIA DGX Cloud

Pros
- Clusters are co-engineered with each major cloud (AWS, Google Cloud, Azure, OCI) and come with NVIDIA's full software stack.
- Customers get access to NVIDIA experts, which is rare among GPU cloud providers.
- Lepton gives a single workflow across many GPU providers, with region choice for data sovereignty.
- Through build.nvidia.com, developers can use prebuilt NIM microservices and serverless endpoints without managing clusters.
Cons
- NVIDIA publishes no prices, and the core service requires a negotiated private offer.
- Review-site summaries repeatedly describe the pricing as expensive.
- Press reports say NVIDIA has scaled back DGX Cloud as a hyperscaler rival, so its direction is uncertain.
- Lepton access requires an application, and NVIDIA controls the allocation layer between you and the partner providers.
Not sold on either?
Frequently Asked Questions
Nebius scores higher on our AI Software criteria: 6.6/10 against 5.9/10 for NVIDIA DGX Cloud. The largest gap is in Cost: 7/10 for Nebius and 3/10 for NVIDIA DGX Cloud.
No, neither Nebius nor NVIDIA DGX Cloud lists a free plan.
Nebius is the better fit for startups: we rate it 8/10 for them, against 5/10 for NVIDIA DGX Cloud.





