Ray ServeScalable model serving library for building online inference APIs
vs
RoboflowTurn images, videos, and streams into intelligence.
Comparison · MLOps Platforms · weekly run Nov 2
Ray Serve vs Roboflow
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Roboflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.7 versus 0 for Ray Serve.
Choose Ray Serve if…
- You need SOC 2 Type II or ISO/IEC 27001 coverage
Choose Roboflow if…
- You want the brand AI engines rank higher (1.7 vs 0)
- You need a self-hosted or on-premises option
- You need SOC 2 or HIPAA coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Ray Serve | Roboflow |
|---|---|---|
| Visibility score | 0% | 1.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #61 | #33 |
| Share of voice | 0% | 0.3% |
| Mentions this run | 0 | 2 |
| Positive in AI answers | — | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Ray Serve 0pp · Roboflow 0pp over 0 weekly runs.
Engine by engine
Roboflow leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Ray ServeRoboflow
Head to head in AI answers
0 engine answers name both brands
0Ray Serve ranked higher
0Roboflow ranked higher
Features, pricing & fit
| Dimension | Ray Serve | Roboflow |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $39 / mo |
| Free plan | — | Yes |
| Deployment | Self-managed on a laptop, in a Docker container, on a managed Ray cluster, or on Kubernetes via KubeRay | Roboflow-hosted cloud, dedicated deployments, or self-hosted with Inference on your own hardware, including air-gapped options on Enterprise plans. |
| Integrations | — | 51+ |
| Compliance | SOC 2 Type II, ISO/IEC 27001 | SOC 2, HIPAA |
| Support | Ray Community Slack, Hands-on training and expert support from the Anyscale team that created Ray | Email and chat support, Ticket support, Named Customer Support Engineer on Enterprise, 24x7 support with SLA on Enterprise |
| Founded | — | 2020 |
| Headquarters | San Francisco, California | Remote, United States |
| Employees | — | 51–200 |
| Funding | Series C | Series B · $62M raised |
| Best for | Python teams serving machine learning models, including LLMs, as online inference APIs that need independent scaling | Developers and technical founders building vision applications, and enterprise AI, operations and engineering teams running vision AI on physical operations. |
Plans side by side
Ray Serve
Pricing not available.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Ray Serve vs Roboflow”, https://slateindex.ai/compare/ray-serve-vs-roboflow, data of Nov 2, 2026. Licence: CC BY 4.0.