BasetenDeploy AI models in production on the Baseten Inference Stack.
vs
Ray ServeScalable model serving library for building online inference APIs
Comparison · MLOps Platforms · weekly run Nov 2
Baseten vs Ray Serve
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Baseten is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.4 versus 0 for Ray Serve.
Choose Baseten if…
- You want the brand AI engines rank higher (0.4 vs 0)
- You need a self-hosted or on-premises option
- You need HIPAA coverage
Choose Ray Serve if…
- You need ISO/IEC 27001 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Baseten | Ray Serve |
|---|---|---|
| Visibility score | 0.4% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #47 | #61 |
| Share of voice | 0.2% | 0% |
| Mentions this run | 1 | 0 |
| Positive in AI answers | — | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Baseten 0pp · Ray Serve 0pp over 0 weekly runs.
Engine by engine
Baseten leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
BasetenRay Serve
Head to head in AI answers
0 engine answers name both brands
0Baseten ranked higher
0Ray Serve ranked higher
Features, pricing & fit
| Dimension | Baseten | Ray Serve |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | Yes | — |
| Deployment | Multi-cloud: Baseten Cloud, self-hosted in your own VPC, or hybrid with on-demand flex capacity. | Self-managed on a laptop, in a Docker container, on a managed Ray cluster, or on Kubernetes via KubeRay |
| Compliance | SOC 2 Type II, HIPAA | SOC 2 Type II, ISO/IEC 27001 |
| Support | Email and in-app chat, Slack and Zoom support on Pro, Forward-deployed engineers | Ray Community Slack, Hands-on training and expert support from the Anyscale team that created Ray |
| Founded | 2019 | — |
| Headquarters | San Francisco, CA | San Francisco, California |
| Employees | 201–500 | — |
| Funding | Series D | Series C |
| Best for | Teams shipping production AI products that need fast, reliable inference for open-source or custom models. | Python teams serving machine learning models, including LLMs, as online inference APIs that need independent scaling |
Plans side by side
Ray Serve
Pricing not available.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Baseten vs Ray Serve”, https://slateindex.ai/compare/baseten-vs-ray-serve, data of Nov 2, 2026. Licence: CC BY 4.0.