# Baseten vs Ray

**Leader by vioscaleAI score:** Baseten

| Attribute | Baseten | Ray |
|---|---|---|
| **vioscaleAI score** | 77.3 (72% (medium)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 3,641 |
| adoption.github_stars | - | 44,036 |
| adoption.package_downloads_weekly | - | 11,291,327 |
| content.faq | `[{"answer":"An infrastructure platform that handles serving, optimizing, and scaling machine learning models across multiple clouds. Offers both managed cloud and self-hosted deployment options with built-in performance tuning, autoscaling, and 99.99% uptime reliability. It is indexed under MLOps & LLMOps Tools.","source":"https://www.baseten.co/pricing/","question":"What is Baseten?","confidence":0.6},{"answer":"Baseten does not publish its prices. Pricing is quoted on request, across 3 plans (Basic, Pro and Enterprise), so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.","source":"https://www.baseten.co/pricing/","question":"How much does Baseten cost?","confidence":0.6},{"answer":"Baseten supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.baseten.co/pricing/","question":"What platforms does Baseten support?","confidence":0.6},{"answer":"Yes. Baseten can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.baseten.co/pricing/","question":"Can Baseten be self-hosted?","confidence":0.6},{"answer":"We have confirmed 4 integrations for Baseten, including Plotly, OpenAI-compatible endpoint, Truss and SageMaker. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.baseten.co/pricing/","question":"What does Baseten integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for Baseten. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Baseten not holding them. Always confirm compliance directly before you rely on it.","source":"https://www.baseten.co/resources/changelog/compliance-policy-visibility/","question":"What security certifications does Baseten have?","confidence":0.7},{"answer":"Baseten is available worldwide. The vendor is headquartered in the United States.","source":"https://www.baseten.co/pricing/","question":"Where is Baseten available?","confidence":0.75}]` | `[{"answer":"Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters. It is indexed under MLOps & LLMOps Tools.","source":"https://www.ray.io","question":"What is Ray?","confidence":0.6},{"answer":"Ray offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://www.ray.io","question":"Is Ray free?","confidence":0.6},{"answer":"Ray supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.ray.io","question":"What platforms does Ray support?","confidence":0.6},{"answer":"Yes. Ray can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.ray.io","question":"Can Ray be self-hosted?","confidence":0.6},{"answer":"We have confirmed 19 integrations for Ray, including PyTorch, TensorFlow, AIBrix, AReaL, Cosmos Curate, Daft, Data-Juicer and DeltaCAT, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.ray.io","question":"What does Ray integrate with?","confidence":0.6},{"answer":"Yes. Ray is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/ray-project/ray","question":"Is Ray open source?","confidence":0.67}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | An infrastructure platform that handles serving, optimizing, and scaling machine learning models across multiple clouds. Offers both managed cloud and self-hosted deployment options with built-in performance tuning, autoscaling, and 99.99% uptime reliability. | Open-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs. |
| features.capabilities | `{"role":"serving","evaluation":false,"soc2_type_ii":true,"compute_model":"dedicated_gpu_instance","managed_cloud":true,"model_serving":true,"pricing_model":"per_million_tokens","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"llm_observability":true,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":true,"openai_compatible_rest_api_schema":true,"bring_your_own_weights_byow_hosting":true,"dynamic_batching_and_kv_cache_management":true,"massive_context_window_support_100k_plus":true,"hipaa_baa_compliance_for_medical_inference":true,"multimodal_vision_and_audio_in_out_support":true,"native_function_calling_and_strict_json_mode":true}` | `{"role":"framework","managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 6 | 17 |
| integrations.list | `[{"name":"Plotly"},{"name":"OpenAI-compatible endpoint"},{"name":"Truss"},{"name":"SageMaker","native":true,"category":"model_management","direction":"inbound"},{"name":"ComfyUI","native":true,"direction":"inbound"},{"name":"Exa","native":true,"category":"search","direction":"inbound"},{"name":"Keenable","native":true,"category":"search","direction":"inbound"},{"name":"Parallel","native":true,"category":"search","direction":"inbound"},{"name":"You.com","native":true,"category":"search","direction":"inbound"}]` | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"AIBrix"},{"name":"AReaL"},{"name":"Cosmos Curate"},{"name":"Daft"},{"name":"Data-Juicer"},{"name":"DeltaCAT"},{"name":"Modin"},{"name":"NeMo Curator"},{"name":"NeMo-RL"},{"name":"OpenRLHF"},{"name":"RayDP"},{"name":"ROLL"},{"name":"SkyRL"},{"name":"SLIME"},{"name":"Syftr"},{"name":"verl"},{"name":"vLLM"},{"name":"Kubernetes","native":true,"category":"infrastructure"},{"name":"AWS","native":true,"category":"cloud"},{"name":"GCP","native":true,"category":"cloud"},{"name":"Azure","native":true,"category":"cloud"},{"name":"Databricks","native":true,"category":"data_platform"},{"name":"DeltaLake","native":true,"category":"data_storage"},{"name":"Spark","native":true,"category":"data_processing","direction":"bidirectional"},{"name":"Pandas","native":true,"category":"data_processing","direction":"bidirectional"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true}` |
| pricing | `{"type":"usage","plans":[{"free":true,"name":"Basic","summary":"Free tier, pay as you go","features":["Dedicated deployments","Model APIs","Training","Fast cold starts","SOC 2 Type II and HIPAA compliant","Email and in-app chat support"],"description":"Pay-as-you-go model deployment and inference","contactSales":false},{"free":false,"name":"Pro","features":["Priority access to high-demand GPUs","Dedicated compute","Higher Model API rate limits","Hands-on engineering expertise","Dedicated support on Slack and Zoom","Volume discounts available"],"description":"Priority compute access with dedicated support","contactSales":true},{"free":false,"name":"Enterprise","features":["Custom SLAs","Self-host deployments","On-demand flex compute","Use existing cloud commitments","Full control over data residency","Advanced security and compliance","Custom global regions","Advanced RBAC with Teams","Your VPC"],"description":"Full control with self-hosted and custom SLA options","contactSales":true}],"summary":"Pay-as-you-go model inference starting free. Model API pricing from $0.10–$4.40 per 1M tokens. GPU instances from $0.00058–$0.16633 per hour.","currency":"USD","freeTier":true,"sourceUrl":"https://www.baseten.co/pricing/","retrievedAt":"2026-09-06T16:25:08.127Z"}` | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | low | free |
| pricing.transparent | yes | - |
| release.cadence_days | - | 18 |
| release.history | - | `[{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.59.0","date":"2026-10-02T07:04:37Z","type":"stable","version":"ray-2.59.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.58.0","date":"2026-08-23T05:42:08Z","type":"stable","version":"ray-2.58.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.57.0","date":"2026-08-11T01:15:44Z","type":"stable","version":"ray-2.57.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.1","date":"2026-07-17T23:19:47Z","type":"stable","version":"ray-2.56.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.0","date":"2026-06-29T20:32:55Z","type":"stable","version":"ray-2.56.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.1","date":"2026-04-22T20:24:41Z","type":"stable","version":"ray-2.55.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.0","date":"2026-04-15T20:34:27Z","type":"stable","version":"ray-2.55.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.1","date":"2026-03-25T23:37:39Z","type":"stable","version":"ray-2.54.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.0","date":"2026-02-18T23:44:44Z","type":"stable","version":"ray-2.54.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.53.0","date":"2025-12-20T15:16:24Z","type":"stable","version":"ray-2.53.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.2","date":"2025-11-29T00:40:40Z","type":"stable","version":"ray-2.51.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.1","date":"2025-11-28T02:23:22Z","type":"stable","version":"ray-2.52.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.0","date":"2025-11-21T19:10:39Z","type":"stable","version":"ray-2.52.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.1","date":"2025-11-01T03:27:11Z","type":"stable","version":"ray-2.51.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.0","date":"2025-10-29T05:33:49Z","type":"stable","version":"ray-2.51.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.1","date":"2025-10-18T19:21:43Z","type":"stable","version":"ray-2.50.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.0","date":"2025-10-10T23:06:29Z","type":"stable","version":"ray-2.50.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.2","date":"2025-09-19T18:10:36Z","type":"stable","version":"ray-2.49.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.1","date":"2025-09-03T00:44:11Z","type":"stable","version":"ray-2.49.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.0","date":"2025-08-26T19:52:24Z","type":"stable","version":"ray-2.49.0"}]` |
| reliability.sla_pct | 99.99 | - |
| reliability.status_page | yes | yes |
| security.certifications | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"},{"name":"HIPAA","status":"active"}]` | - |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 5.7 |
| security.soc2 | yes | - |
| security.trust_center | https://www.baseten.co/resources/changelog/compliance-policy-visibility/ | - |
| security.vulnerabilities | - | `{"count":12,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100","last_12m":6,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Baseten | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Model serving | Agent / RAG framework |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✓ |
| Managed cloud available | ✓ | ✓ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | ✓ | ✓ |
| Evaluation (offline / LLM-judge / human) | ✗ | - |
| **Dev** |  |  |
| Prompt management + versioning | ✗ | - |
| **Tracking** |  |  |
| Experiment tracking / model registry | ✓ | ✓ |
| **Serving** |  |  |
| Model serving / inference endpoint | ✓ | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | ✗ | ✓ |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | ✓ | ✓ |
| **Data** |  |  |
| No-train-on-customer-data guarantee | - | - |

*Source: vioscaleAI. Generated 2026-10-16T19:32:54.762Z. "-" = undocumented, not absent.*