# Ray vs Replicate

**Leader by vioscaleAI score:** Ray

| Attribute | Ray | Replicate |
|---|---|---|
| **vioscaleAI score** | 70.8 (65% (medium)) | 64.6 (40% (low)) |
| 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":"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":"Execute pre-built or custom machine learning models through a unified API. Replicate handles infrastructure scaling and provides tools for fine-tuning models with custom data and monitoring model performance. It is indexed under MLOps & LLMOps Tools.","source":"https://replicate.com","question":"What is Replicate?","confidence":0.6},{"answer":"Replicate offers a free tier, so you can start without paying. Paid plans start at $0.00 per CPU (Small) per second. Pricing changes often, so verify at source before relying on it.","source":"https://replicate.com","question":"Is Replicate free?","confidence":0.6},{"answer":"We have confirmed browser-based access to Replicate. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://replicate.com","question":"What platforms does Replicate support?","confidence":0.6},{"answer":"Yes. Replicate can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://replicate.com","question":"Can Replicate be self-hosted?","confidence":0.6},{"answer":"We have confirmed 10 integrations for Replicate, including Google, OpenAI, ByteDance, Black Forest Labs, HuggingFace, Anthropic, Alibaba and Krea, plus 2 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://replicate.com","question":"What does Replicate integrate with?","confidence":0.6},{"answer":"Replicate is available worldwide. Its primary market is the United States.","source":"https://replicate.com","question":"Where is Replicate available?","confidence":0.5}]` |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"cloud":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 platform for deploying and running machine learning models and custom code via a simple API. Supports packaging models with Cog, then deploying to Replicate's managed cloud or your own infrastructure. |
| 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","compute_model":"serverless_per_token","managed_cloud":true,"model_serving":true,"pricing_model":"per_compute_hour","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"no_train_on_data":"unknown","llm_observability":true,"framework_agnostic":true,"experiment_tracking":true,"bring_your_own_weights_byow_hosting":true,"multimodal_vision_and_audio_in_out_support":true,"lpu_or_custom_silicon_for_extreme_low_latency":false}` |
| integrations.count | 17 | 8 |
| 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":"Google"},{"name":"OpenAI"},{"name":"ByteDance"},{"name":"Black Forest Labs"},{"name":"HuggingFace"},{"name":"Anthropic"},{"name":"Alibaba"},{"name":"Krea"},{"name":"GitHub"},{"name":"Docker"}]` |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` | `{"type":"usage","plans":[{"name":"Public Models","summary":"Per-token or per-output pricing varies by model","features":["Run public models","Text-to-image generation","Image editing and restoration","Video generation","Speech generation","Large language models","Music generation"],"components":[{"per":{"qty":1000,"unit":"output tokens"},"kind":"metered","amount":0.015,"currency":"USD"},{"per":{"qty":1000000,"unit":"input tokens"},"kind":"metered","amount":3,"currency":"USD"},{"kind":"per_unit","unit":"image","amount":0.04,"period":"per_output","currency":"USD"},{"kind":"per_unit","unit":"video","amount":0.09,"period":"per_second","currency":"USD"}],"description":"Thousands of open-source and proprietary models billed by execution time or output tokens/images","contactSales":false},{"free":false,"name":"Private Models","summary":"$0.09–$20.16/hr depending on hardware","features":["Dedicated hardware (no shared queue)","Auto-scaling","Custom model deployment","Hourly billing available"],"components":[{"kind":"per_unit","unit":"CPU (Small)","amount":0.000025,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"CPU","amount":0.0001,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia A100 (80GB)","amount":0.0014,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia H100","amount":0.001525,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia L40S","amount":0.000975,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia T4","amount":0.000225,"period":"second","currency":"USD"}],"description":"Deploy custom models on dedicated hardware. Billed for all uptime (setup, idle, and processing)","contactSales":false},{"free":false,"name":"Fast Booting Fine-Tunes","summary":"Active processing time only","features":["Fine-tuned model deployment","No idle time billing"],"description":"Private fine-tuned models billed only for active processing time (no idle time charges)","contactSales":false}],"addOns":[{"name":"Multi-GPU A100 Capacity","components":[{"kind":"per_unit","unit":"4x Nvidia A100 (80GB)","amount":0.0056,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"8x Nvidia A100 (80GB)","amount":0.0112,"period":"second","currency":"USD"}]},{"name":"Multi-GPU H100 Capacity","components":[{"kind":"per_unit","unit":"2x Nvidia H100","amount":0.00305,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"4x Nvidia H100","amount":0.0061,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"8x Nvidia H100","amount":0.0122,"period":"second","currency":"USD"}]}],"summary":"Usage-based: public models from $0.01–$0.25 per output token/image/second; private models from $0.09–$40.32/hr. Free tier available.","currency":"USD","freeTier":true,"sourceUrl":"https://replicate.com","retrievedAt":"2026-08-03T22:46:21.215Z","startingPrice":{"amount":0.000025,"period":"month","currency":"USD"}}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | free | unknown |
| 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.status_page | yes | yes |
| security.scorecard | 5.7 | - |
| 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 | Ray | Replicate |
|---|:--:|:--:|
| **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 | - | Unknown |

*Source: vioscaleAI. Generated 2026-10-16T19:00:59.400Z. "-" = undocumented, not absent.*