# Amazon SageMaker Inference

> A cloud platform for deploying machine learning models with low-latency and high-throughput inference capabilities

- **Canonical URI:** https://www.vioscale.ai/software/amazon-sagemaker-inference
- **Category:** Model Serving
- **Homepage:** https://aws.amazon.com/sagemaker/deploy/
- **Also known as:** amazon-sagemaker-inference
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-21T11:13:42.449Z

## Vioscale score

**36.1 / 100**, confidence 40% (low). Computed 2026-09-01.

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 0 | 0.052 | 0 | - |
| reliability | 0 | 0.073 | 0 | - |
| capabilities | 67.1 | 0.04877777777777778 | 3.3 | ✓ |
| integrations | 33 | 0.04066666666666666 | 1.3 | ✓ |
| security_posture | 30 | 0.073 | 2.2 | ✓ |
| pricing_transparency | 25 | 0.084 | 2.1 | ✓ |

## About

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.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI, Web
- **Deployment:** Cloud / SaaS

## Integrations (13)

_Independently observed._

- TensorFlow
- PyTorch
- ONNX
- XGBoost
- SageMaker Pipelines
- SageMaker Projects
- SageMaker Feature Store
- SageMaker Model Registry
- SageMaker Clarify
- Amazon Bedrock
- Amazon S3
- AWS CloudWatch
- AWS CloudTrail

## Capabilities

_The capabilities that matter for Model Serving. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **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 | - |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | yes | [link](https://aws.amazon.com/sagemaker/deploy/) | 2026-08-21 | 48% (low) |

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 13 | [link](https://aws.amazon.com/ec2/pricing/?nc2=h_pr_ec2) | 2026-08-21 | 60% (medium) |

### market

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":["US"],"notAvailableCountries":[]}` | [link](https://aws.amazon.com/ec2/pricing/?nc2=h_pr_ec2) | 2026-08-21 | 75% (high) |

### security

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| security.fedramp | yes | [link](https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp) | 2026-08-21 | 75% (high) |
| security.gdpr | yes | [link](https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp) | 2026-08-21 | 75% (high) |
| security.hipaa | yes | [link](https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp) | 2026-08-21 | 75% (high) |
| security.pci | yes | [link](https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp) | 2026-08-21 | 75% (high) |

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*Source: Vioscale (https://www.vioscale.ai/software/amazon-sagemaker-inference). Independent, evidence-based software intelligence. Cite the canonical URI.*