---
title: Vantage Compute vs Rafay | Vantage Compute
canonical: 'https://www.vantagecompute.ai/compare/rafay/'
description: >-
  Rafay operates Kubernetes and delivers GPUs as a service. Vantage Compute is
  built for research and engineering teams: simulate, train and serve in one
  place.
updated: '2026-11-14'
---
# Vantage Compute vs Rafay

Rafay is a platform for operating Kubernetes and delivering GPUs as a service, including for cloud providers. Vantage Compute is built for the research and engineering teams doing the work: simulation, training and serving in one place.

[Book Demo](https://www.vantagecompute.ai/contact/)

|                        | Rafay                                                                | Vantage Compute                                                                         |
| ---------------------- | -------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| Scope                  | Kubernetes operations and GPUs as a service, with Slurm as a service | AI training and serving, engineering simulation and HPC, in one place                   |
| Built for              | Platform teams, enterprises and GPU cloud providers                  | Research and engineering teams, and the people who run their clusters                   |
| Tenants and chargeback | Hierarchical multi-tenancy, with usage metering and chargeback       | Chargeback by team, project and GPU-hour, with quotas enforced by policy                |
| Identity and audit     | Enterprise SSO, role-based access control and audit logging          | Your own identity provider (SSO and RBAC), every action logged and tied to one identity |
| Where it is hosted     | As a hosted service, or fully air-gapped                             | On your own racks or in your own cloud account                                          |

## When each option fits

### Rafay: the better fit when

- You are building a GPU cloud to sell to tenants.
- Your main job is operating many Kubernetes clusters.
- You need hierarchical multi-tenancy for customers outside your organization.

### Vantage Compute: the better fit when

- Your users are researchers and engineers running simulation, training and serving.
- You run Slurm and Kubernetes and want both under one platform.
- You already own GPUs and want them used.

## Frequently asked questions

### Does Vantage Compute share GPUs between teams?

Yes. It finds idle GPUs, shares them through partitioning, and attributes usage and spend to each user, team and project.

### Does it work with the GPUs we already own?

Yes. It runs on your own racks or in your own cloud account, and helps you find idle GPUs and share them fairly between teams.

## Sources

What this page says about Rafay comes from its own public pages, read on 2026-11-14. Products change: check them before you decide.

- [Rafay platform](https://rafay.co/platform/rafay-paas)
- [Rafay: enterprise GPU as a service](https://rafay.co/solutions/enterprise-gpu-paas)
- [Rafay: Slurm as a service](https://rafay.co/solutions/rafay-powered-slurm-as-a-service)
- [Rafay: AI and ML FAQs](https://rafay.co/ai-ml-faqs)

## More Comparisons

[All Comparisons →](https://www.vantagecompute.ai/compare/)

[**Hosted HPC services**](https://www.vantagecompute.ai/compare/hosted-hpc-services/) [**Do-it-yourself scripts and spreadsheets**](https://www.vantagecompute.ai/compare/diy-scripts-and-spreadsheets/) [**Slurm on Kubernetes alone**](https://www.vantagecompute.ai/compare/slurm-on-kubernetes/) [**GPU orchestration tools**](https://www.vantagecompute.ai/compare/gpu-orchestration-tools/) [**Rescale**](https://www.vantagecompute.ai/compare/rescale/)