# Amazon SageMaker Inference vs SGLang

**Leader by Vioscale score:** Amazon SageMaker Inference

| Attribute | Amazon SageMaker Inference | SGLang |
|---|---|---|
| **Vioscale score** | 36.1 (40% (low)) | 13.7 (3% (low)) |
| 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 deployment system that serves language models across various architectures with optimized performance on NVIDIA and AMD GPUs, compatible with standard API interfaces. |
| features.capabilities | `{"gpu_acceleration":true,"multi_model_serving":true,"multi_framework_support":true,"autoscaling_scale_to_zero":true}` | - |
| integrations.count | 13 | 2 |
| 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"}]` | `[{"name":"Hugging Face"},{"name":"OpenAI"}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":["US"],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | - |
| pricing.free_tier | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |

## Capabilities (Model Serving)

| Capability | Amazon SageMaker Inference | SGLang |
|---|:--:|:--:|
| **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 2026-09-01T15:05:35.259Z. "-" = undocumented, not absent.*