# Amazon SageMaker Inference vs KServe

| Attribute | Amazon SageMaker Inference | KServe |
|---|---|---|
| **Vioscale score** | 36.1 (40% (low)) | 70.2 (19% (low)) |
| activity.commits_last_30d | - | 72 |
| adoption.dependent_repos | - | 178 |
| adoption.github_stars | - | 5,833 |
| deployment.options | `{"cloud":true}` | `{"self_hosted":true}` |
| description.long | AWS SageMaker Inference is a managed service for deploying trained machine learning models into production, supporting multiple ML frameworks and providing integration with AWS MLOps tools like model registries, feature stores, and CI/CD pipelines. | 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. |
| features.capabilities | `{"gpu_acceleration":true,"multi_model_serving":true,"multi_framework_support":true,"autoscaling_scale_to_zero":true}` | `{"open_source":true,"gpu_acceleration":true,"canary_ab_rollout":true,"kubernetes_native":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"openai_compatible_api":true,"multi_framework_support":true,"autoscaling_scale_to_zero":true}` |
| integrations.count | 13 | - |
| integrations.list | `[{"name":"TensorFlow"},{"name":"PyTorch"},{"name":"ONNX"},{"name":"XGBoost"},{"name":"SageMaker Pipelines"},{"name":"SageMaker Projects"},{"name":"SageMaker Feature Store"},{"name":"SageMaker Model Registry"},{"name":"SageMaker Clarify"},{"name":"Amazon Bedrock"},{"name":"Amazon S3"},{"name":"AWS CloudWatch"},{"name":"AWS CloudTrail"}]` | - |
| language.primary | - | Go |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":["US"],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | - |
| pricing.free_tier | yes | - |
| pricing.model | - | commercial |
| release.cadence_days | - | 17 |
| release.history | - | `[{"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/kserve/kserve/releases/tag/v0.15.1","date":"2025-05-15T15:23:01Z","type":"stable","version":"v0.15.1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.15.0","date":"2025-03-31T11:17:55Z","type":"stable","version":"v0.15.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.15.0-rc1","date":"2025-03-07T16:01:32Z","type":"prerelease","version":"v0.15.0-rc1"}]` |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 6.8 |
| 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}` |

## Capabilities (Model Serving)

| Capability | Amazon SageMaker Inference | KServe |
|---|:--:|:--:|
| **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: Vioscale. Generated 2026-09-01T16:57:37.059Z. "-" = undocumented, not absent.*