PolyaxonThe AI control plane that runs on your infrastructure
vs
Ray ServeScalable model serving library for building online inference APIs
Comparison · MLOps Platforms · weekly run Nov 2
Polyaxon vs Ray Serve
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Polyaxon is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.3 versus 0 for Ray Serve.
Choose Polyaxon if…
- You want the brand AI engines rank higher (0.3 vs 0)
- You need a self-hosted or on-premises option
Choose Ray Serve if…
- You need SOC 2 Type II or ISO/IEC 27001 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Polyaxon | Ray Serve |
|---|---|---|
| Visibility score | 0.3% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #53 | #61 |
| Share of voice | 0.1% | 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
Polyaxon 0pp · Ray Serve 0pp over 0 weekly runs.
Engine by engine
Polyaxon leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
PolyaxonRay Serve
Head to head in AI answers
0 engine answers name both brands
0Polyaxon ranked higher
0Ray Serve ranked higher
Features, pricing & fit
| Dimension | Polyaxon | Ray Serve |
|---|---|---|
| Deployment | Polyaxon Cloud, or self-hosted on-prem, in your VPC, or on any managed Kubernetes | Self-managed on a laptop, in a Docker container, on a managed Ray cluster, or on Kubernetes via KubeRay |
| Compliance | — | SOC 2 Type II, ISO/IEC 27001 |
| Support | Premium support with the Enterprise Edition, Community Edition support through GitHub Discussions | Ray Community Slack, Hands-on training and expert support from the Anyscale team that created Ray |
| Headquarters | Berlin, Germany | San Francisco, California |
| Employees | 1–10 | — |
| Funding | — | Series C |
| Best for | Teams that want full control over their infrastructure, data, execution, and governance | Python teams serving machine learning models, including LLMs, as online inference APIs that need independent scaling |
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Polyaxon vs Ray Serve”, https://slateindex.ai/compare/polyaxon-vs-ray-serve, data of Nov 2, 2026. Licence: CC BY 4.0.