Nebius vs Runpod: Complete Comparison (2026)
An in-depth comparison of Nebius and Runpod 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.
Runpod
6.8/10
Runpod is a GPU cloud for AI teams, offering per-second GPU pods, autoscaling serverless inference endpoints, and multi-node instant clusters.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 6.6/10 | 6.8/10 |
| Analytics | 6/10 | 5/10 |
| Cost | 7/10 | 8/10 |
| Customization | 7/10 | 8/10 |
| Ease of Use | 6/10 | 7/10 |
| Integration | 6/10 | 6/10 |
| Scalability | 8/10 | 8/10 |
| Security | 8/10 | 7/10 |
| Support | 5/10 | 4/10 |
| 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 | ||
| Multiple Regions | ||
| Object Storage | Not listed | |
| Serverless Functions | ||
| Managed Kubernetes | Not listed | |
| Cloud Compute | ||
| Shared Hosting | ||
| Uptime SLA | Not listed | |
| Git Deployments | Not listed | |
Which One Should You Choose?
Why choose Nebius
- Higher Analytics score (6/10 vs 5/10)
- Higher Security score (8/10 vs 7/10)
Why choose Runpod
- Higher Cost score (8/10 vs 7/10)
- Higher Customization score (8/10 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.
Runpod
Pros
- Per-second billing with no ingress or egress fees keeps short experiments cheap.
- Community Cloud GPUs cost far less than hyperscalers, for example an RTX 4090 at $0.34 per hour.
- Serverless endpoints scale to zero, so spiky inference traffic costs nothing when idle.
- A wide catalogue of more than 30 GPU models, including B200 and B300, across 31 regions.
- Secure Cloud is backed by SOC 2 Type II and ISO 27001 compliance.
Cons
- Community Cloud machines can drop out mid-job, and some users report pods that crash while billing continues.
- GPU availability fluctuates, and listed GPUs can disappear before you launch.
- Standard accounts have no published support response times or uptime SLA, and the SLA is limited to enterprise contracts.
- Stopped pods pay double for volume disk, and deposited credits are non-refundable.
- Serverless assumes Docker knowledge, and network volumes are tied to a single region.
Not sold on either?
Frequently Asked Questions
Runpod scores higher on our AI Software criteria: 6.8/10 against 6.6/10 for Nebius. The largest gap is in Analytics: 6/10 for Nebius and 5/10 for Runpod.
No, neither Nebius nor Runpod lists a free plan.
