# KServe vs TorchServe

| Attribute | KServe | TorchServe |
|---|---|---|
| **vioscaleAI score** | 68.3 (79% (high)) | 68.1 (76% (high)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 178 | 92,053 |
| adoption.github_stars | 6,115 | 104,702 |
| content.faq | `[{"answer":"A Kubernetes-native platform designed for deploying both generative and predictive AI models, balancing simplicity for quick deployments with enterprise-grade capabilities for large-scale production workloads. It is indexed under Model Serving.","source":"https://kserve.github.io/website/","question":"What is KServe?","confidence":0.6},{"answer":"Yes. KServe can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://kserve.github.io/website/","question":"Can KServe be self-hosted?","confidence":0.6},{"answer":"Yes. KServe 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/kserve/kserve","question":"Is KServe open source?","confidence":0.95}]` | `[{"answer":"TorchServe enables efficient production deployment of machine learning models at scale across different cloud platforms and infrastructure. It supports multi-model serving, provides monitoring and logging capabilities, and offers REST API endpoints for application integration. It is indexed under Model Serving.","source":"https://pytorch.org/serve/","question":"What is TorchServe?","confidence":0.6},{"answer":"TorchServe is open source, so it can be self-hosted and used at no licence cost. Pricing changes often, so verify at source before relying on it.","source":"https://pytorch.org/serve/","question":"Is TorchServe free to use?","confidence":0.6},{"answer":"TorchServe supports Windows, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://pytorch.org/serve/","question":"What platforms does TorchServe support?","confidence":0.6},{"answer":"Yes. TorchServe can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://pytorch.org/serve/","question":"Can TorchServe be self-hosted?","confidence":0.6},{"answer":"We have confirmed 6 integrations for TorchServe, including AWS Inferentia2, AWS SageMaker, Google Cloud Vertex AI, Google Cloud TPUv5, Intel oneAPI and Datadog. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://pytorch.org/serve/","question":"What does TorchServe integrate with?","confidence":0.6}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | An open-source platform designed to simplify deployment of machine learning models on Kubernetes while supporting complex enterprise-scale inference with multiple frameworks and advanced optimization features. | TorchServe enables deploying PyTorch models across cloud and on-premises environments, supporting simultaneous multi-model hosting, operational observability through logging and metrics, and HTTP endpoints for consuming models in applications. |
| features.capabilities | `{"open_source":true,"gpu_acceleration":true,"canary_ab_rollout":true,"kubernetes_native":true,"continuous_batching":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"openai_compatible_api":true,"multi_framework_support":true,"autoscaling_scale_to_zero":true}` | `{"open_source":true,"gpu_acceleration":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true}` |
| integrations.count | 15 | 6 |
| integrations.list | `[{"name":"Hugging Face","native":true},{"name":"TensorFlow","native":true},{"name":"PyTorch","native":true},{"name":"scikit-learn","native":true},{"name":"XGBoost","native":true},{"name":"ONNX","native":true},{"name":"vLLM","native":true},{"name":"llm-d","native":true},{"name":"Istio","native":true,"category":"service mesh","direction":"bidirectional"},{"name":"Knative Serving","native":true,"category":"serverless","direction":"bidirectional"},{"name":"Envoy","native":true,"category":"networking","direction":"bidirectional"},{"name":"OpenTelemetry","native":true,"category":"observability","direction":"inbound"},{"name":"Prometheus","native":true,"category":"monitoring","direction":"inbound"},{"name":"HuggingFace","native":true},{"name":"MLflow","native":true},{"name":"KEDA","native":true,"category":"autoscaling","direction":"bidirectional"},{"name":"Gateway API","native":true,"category":"networking","direction":"bidirectional"}]` | `[{"name":"AWS Inferentia2"},{"name":"AWS SageMaker"},{"name":"Google Cloud Vertex AI"},{"name":"Google Cloud TPUv5"},{"name":"Intel oneAPI"},{"name":"Datadog"}]` |
| language.primary | Go | Python |
| license.spdx | Apache-2.0 | - |
| platform.support | - | `{"cli":true,"ios":true,"linux":true,"android":true,"windows":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://kserve.github.io/website/","retrievedAt":"2026-09-14T09:23:10.432Z"}` | `{"type":"open_source","sourceUrl":"https://pytorch.org/serve/","retrievedAt":"2026-08-20T16:35:31.436Z"}` |
| pricing.model | open_source | open_source |
| pricing.price_level | free | free |
| release.cadence_days | 14 | 42 |
| release.history | `[{"url":"https://github.com/kserve/kserve/releases/tag/v0.21.0","date":"2026-09-25T17:04:20Z","type":"stable","version":"v0.21.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.21.0-rc1","date":"2026-09-23T01:22:23Z","type":"prerelease","version":"v0.21.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.21.0-rc0","date":"2026-09-10T17:44:50Z","type":"prerelease","version":"v0.21.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.20.0","date":"2026-08-06T15:07:42Z","type":"stable","version":"v0.20.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.20.0-rc1","date":"2026-08-03T23:59:49Z","type":"prerelease","version":"v0.20.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.20.0-rc0","date":"2026-07-16T21:15:07Z","type":"prerelease","version":"v0.20.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.1","date":"2026-07-15T02:18:38Z","type":"stable","version":"v0.18.1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.19.0","date":"2026-06-14T03:09:11Z","type":"stable","version":"v0.19.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.19.0-rc0","date":"2026-05-28T02:19:27Z","type":"prerelease","version":"v0.19.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.1","date":"2026-05-21T15:30:23Z","type":"stable","version":"v0.17.1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.0","date":"2026-04-29T18:14:59Z","type":"stable","version":"v0.18.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.0-rc1","date":"2026-04-22T16:31:46Z","type":"prerelease","version":"v0.18.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.0-rc0","date":"2026-04-20T15:31:27Z","type":"prerelease","version":"v0.18.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.0","date":"2026-03-13T23:12:37Z","type":"stable","version":"v0.17.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.0-rc1","date":"2026-03-12T14:27:48Z","type":"prerelease","version":"v0.17.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.0-rc0","date":"2026-03-06T18:55:36Z","type":"prerelease","version":"v0.17.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.16.0","date":"2025-11-03T02:40:28Z","type":"stable","version":"v0.16.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.16.0-rc1","date":"2025-10-19T19:00:03Z","type":"prerelease","version":"v0.16.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.16.0-rc0","date":"2025-09-15T12:18:38Z","type":"prerelease","version":"v0.16.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.15.2","date":"2025-05-27T07:11:20Z","type":"stable","version":"v0.15.2"}]` | `[{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.14.1","date":"2026-09-30T19:14:48Z","type":"stable","version":"v2.14.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.14.0","date":"2026-09-02T17:40:10Z","type":"stable","version":"v2.14.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.13.0","date":"2026-07-08T17:39:58Z","type":"stable","version":"v2.13.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.12.1","date":"2026-06-18T00:41:17Z","type":"stable","version":"v2.12.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.12.0","date":"2026-05-13T17:38:06Z","type":"stable","version":"v2.12.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.11.0","date":"2026-03-23T18:38:28Z","type":"stable","version":"v2.11.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.10.0","date":"2026-01-21T17:05:16Z","type":"stable","version":"v2.10.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.9.1","date":"2025-11-12T19:27:19Z","type":"stable","version":"v2.9.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.9.0","date":"2025-10-15T17:12:27Z","type":"stable","version":"v2.9.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.8.0","date":"2025-08-06T17:06:10Z","type":"stable","version":"v2.8.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.7.1","date":"2025-06-04T18:13:15Z","type":"stable","version":"v2.7.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.7.0","date":"2025-04-23T16:16:06Z","type":"stable","version":"v2.7.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.6.0","date":"2025-01-29T17:18:54Z","type":"stable","version":"v2.6.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.5.1","date":"2024-10-29T17:58:24Z","type":"stable","version":"v2.5.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.5.0","date":"2024-10-17T16:26:53Z","type":"stable","version":"v2.5.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.4.1","date":"2024-09-04T19:59:29Z","type":"stable","version":"v2.4.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.4.0","date":"2024-07-24T18:39:28Z","type":"stable","version":"v2.4.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.3.1","date":"2024-06-05T19:16:07Z","type":"stable","version":"v2.3.1"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.3.0","date":"2024-04-24T16:12:17Z","type":"stable","version":"v2.3.0"},{"url":"https://github.com/pytorch/pytorch/releases/tag/v2.2.2","date":"2024-03-27T22:27:02Z","type":"stable","version":"v2.2.2"}]` |
| security.scorecard | 6 | 6.4 |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=kserve&per_page=100","last_12m":0,"max_severity":null}` | `{"count":13,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=torch&per_page=100","last_12m":0,"max_severity":"CRITICAL"}` |

## Capabilities (Model Serving)

| Capability | KServe | TorchServe |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Continuous batching | ✓ | - |
| Dynamic batching | - | - |
| Multi framework support | ✓ | - |
| GPU acceleration | ✓ | ✓ |
| Multi GPU multi node | ✓ | ✓ |
| Quantization support | - | ✓ |
| Openai compatible API | ✓ | - |
| Autoscaling scale to zero | ✓ | - |
| Multi model serving | ✓ | ✓ |
| Canary ab rollout | ✓ | - |
| Kubernetes native | ✓ | - |
| Open source | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-16T20:39:27.809Z. "-" = undocumented, not absent.*