# Ray vs vLLM

**Leader by vioscaleAI score:** Ray

| Attribute | Ray | vLLM |
|---|---|---|
| **vioscaleAI score** | 70.8 (65% (medium)) | 63.5 (58% (medium)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 3,641 | 5 |
| adoption.github_stars | 44,036 | 93,797 |
| adoption.package_downloads_weekly | 11,291,327 | 463,948 |
| content.faq | `[{"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}]` | `[{"answer":"An open-source framework that provides optimized LLM inference with low latency and high throughput. It includes continuous batching, memory-efficient attention mechanisms, quantization support, and distributed serving across diverse hardware platforms. It is indexed under MLOps & LLMOps Tools.","source":"https://docs.vllm.ai","question":"What is vLLM?","confidence":0.6},{"answer":"vLLM is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://docs.vllm.ai","question":"Is vLLM free to use?","confidence":0.6},{"answer":"vLLM supports Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://docs.vllm.ai","question":"What platforms does vLLM support?","confidence":0.6},{"answer":"Yes. vLLM can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://docs.vllm.ai","question":"Can vLLM be self-hosted?","confidence":0.6},{"answer":"We have confirmed 32 integrations for vLLM, including Hugging Face, NVIDIA Dynamo, OpenAI-compatible API, Anthropic Messages API, FlashAttention, FlashInfer, CUTLASS and torch.compile, plus 24 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://docs.vllm.ai","question":"What does vLLM integrate with?","confidence":0.6},{"answer":"Yes. vLLM 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/vllm-project/vllm","question":"Is vLLM open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | 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. | A production-grade inference engine designed for efficient serving of large language models with support for distributed deployment, GPU acceleration, and multi-model endpoints. |
| features.capabilities | `{"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}` | `{"role":"serving","open_source":true,"managed_cloud":false,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"gpu_acceleration":true,"kubernetes_native":true,"llm_observability":true,"framework_agnostic":true,"continuous_batching":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true,"openai_compatible_api":true,"multi_framework_support":true}` |
| integrations.count | 17 | 29 |
| integrations.list | `[{"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"}]` | `[{"name":"Hugging Face"},{"name":"NVIDIA Dynamo"},{"name":"OpenAI-compatible API"},{"name":"Anthropic Messages API"},{"name":"FlashAttention"},{"name":"FlashInfer"},{"name":"CUTLASS"},{"name":"torch.compile"},{"name":"gRPC"},{"name":"GPTQ"},{"name":"AWQ"},{"name":"GGUF"},{"name":"ModelOpt"},{"name":"TorchAO"},{"name":"OpenAI API"},{"name":"Kubernetes"},{"name":"PyTorch"},{"name":"Ray"},{"name":"OpenTelemetry"},{"name":"Prometheus"},{"name":"FastAPI"},{"name":"Transformers"},{"name":"Outlines"},{"name":"Google Cloud TPU"},{"name":"Intel Gaudi"},{"name":"AMD Instinct"},{"name":"Apple Silicon"},{"name":"IBM Spyre"},{"name":"Huawei Ascend"},{"name":"Rebellions NPU"},{"name":"TRTLLM-GEN"},{"name":"CuTeDSL"},{"name":"OpenAI","native":true,"direction":"outbound"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://docs.vllm.ai","retrievedAt":"2026-08-14T21:53:56.648Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | free | free |
| pricing.transparent | - | yes |
| release.cadence_days | 18 | 12 |
| 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"}]` | `[{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.31.0","date":"2026-10-05T06:44:55Z","type":"stable","version":"v0.31.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.30.0","date":"2026-09-22T05:20:54Z","type":"stable","version":"v0.30.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.29.0","date":"2026-09-09T08:54:49Z","type":"stable","version":"v0.29.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.28.0","date":"2026-08-26T09:46:30Z","type":"stable","version":"v0.28.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.1","date":"2026-08-11T10:47:49Z","type":"stable","version":"v0.27.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.0","date":"2026-08-10T21:18:11Z","type":"stable","version":"v0.27.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.26.0","date":"2026-07-27T01:06:58Z","type":"stable","version":"v0.26.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.1","date":"2026-07-14T08:51:20Z","type":"stable","version":"v0.25.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.0","date":"2026-07-11T20:06:44Z","type":"stable","version":"v0.25.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.24.0","date":"2026-06-29T19:41:59Z","type":"stable","version":"v0.24.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.23.0","date":"2026-06-15T05:27:20Z","type":"stable","version":"v0.23.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.1","date":"2026-06-05T10:10:00Z","type":"stable","version":"v0.22.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.0","date":"2026-05-29T10:28:13Z","type":"stable","version":"v0.22.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.21.0","date":"2026-05-15T08:44:26Z","type":"stable","version":"v0.21.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.2","date":"2026-05-10T07:37:57Z","type":"stable","version":"v0.20.2"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.1","date":"2026-05-04T10:36:26Z","type":"stable","version":"v0.20.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.0","date":"2026-04-27T21:20:28Z","type":"stable","version":"v0.20.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.1","date":"2026-04-18T05:44:42Z","type":"stable","version":"v0.19.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.0","date":"2026-04-03T02:19:12Z","type":"stable","version":"v0.19.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.1","date":"2026-03-31T00:53:26Z","type":"stable","version":"v0.18.1"}]` |
| reliability.status_page | yes | - |
| security.scorecard | 5.7 | - |
| security.trust_center | - | https://docs.vllm.ai/en/latest/usage/security/ |
| 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"}` | `{"count":80,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=vllm&per_page=100","last_12m":52,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Ray | vLLM |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | Model serving |
| **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 2026-10-16T19:02:04.881Z. "-" = undocumented, not absent.*