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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 logo

Nebius

6.6/10

Winner

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 logo

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
Nebius logo
Nebius
NVIDIA DGX Cloud logo
NVIDIA DGX Cloud
Scores
Overall Rating6.6/105.9/10
Integration6/107/10
Analytics6/105/10
Customization7/106/10
Ease of Use6/105/10
Support5/108/10
Cost7/103/10
Scalability8/109/10
Security8/107/10
Pricing
Free planNoNo
Cheapest paid planContact for pricingContact for pricing
Estimated cost for 10 usersContact for pricingContact for pricing
Features
API and CLI
Managed DatabasesNot listed
Managed WordPressNot listed
Multiple Regions
Object StorageNot listed
Serverless Functions
Managed KubernetesNot listed
Cloud Compute
Shared HostingNot listed

Which One Should You Choose?

Nebius logo
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)

NVIDIA DGX Cloud logo
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 logo
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 logo
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.

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