# Amazon SageMaker Inference vs NVIDIA Triton Inference Server

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

| Attribute | Amazon SageMaker Inference | NVIDIA Triton Inference Server |
|---|---|---|
| **vioscaleAI score** | 67.6 (75% (high)) | 54.7 (77% (high)) |
| activity.commits_last_30d | - | 21 |
| adoption.dependent_repos | - | 0 |
| adoption.github_stars | - | 11,087 |
| content.faq | `[{"answer":"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. It is indexed under Model Serving.","source":"https://aws.amazon.com/ec2/pricing/?nc2=h_pr_ec2","question":"What is Amazon SageMaker Inference?","confidence":0.6},{"answer":"Amazon SageMaker Inference offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"Is Amazon SageMaker Inference free?","confidence":0.6},{"answer":"Amazon SageMaker Inference supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://aws.amazon.com/ec2/pricing/?nc2=h_pr_ec2","question":"What platforms does Amazon SageMaker Inference support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Amazon SageMaker Inference, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://aws.amazon.com/ec2/pricing/?nc2=h_pr_ec2","question":"Can Amazon SageMaker Inference be self-hosted?","confidence":0.6},{"answer":"We have confirmed 15 integrations for Amazon SageMaker Inference, including TensorFlow, PyTorch, ONNX, XGBoost, SageMaker Pipelines, SageMaker Projects, SageMaker Feature Store and SageMaker Model Registry, plus 7 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"What does Amazon SageMaker Inference integrate with?","confidence":0.6},{"answer":"We have independently confirmed HIPAA and GDPR for Amazon SageMaker Inference. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon SageMaker Inference not holding them. Always confirm compliance directly before you rely on it.","source":"https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp","question":"What security certifications does Amazon SageMaker Inference have?","confidence":0.7},{"answer":"Amazon SageMaker Inference is available worldwide. Its primary market is the United States.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"Where is Amazon SageMaker Inference available?","confidence":0.5}]` | `[{"answer":"An open-source platform that deploys AI models built with PyTorch, ONNX, TensorFlow, and other frameworks, supporting real-time and batch inference workloads. It runs on NVIDIA GPUs, CPUs, and accelerators, with integrations for Kubernetes orchestration and Prometheus monitoring in both cloud and on-premises environments. It is indexed under Model Serving.","source":"https://developer.nvidia.com/triton-inference-server","question":"What is NVIDIA Triton Inference Server?","confidence":0.6},{"answer":"NVIDIA Triton Inference Server is open source, so it can be self-hosted and used at no licence cost. It is released under the BSD-3-Clause licence. Pricing changes often, so verify at source before relying on it.","source":"https://developer.nvidia.com/triton-inference-server","question":"Is NVIDIA Triton Inference Server free to use?","confidence":0.6},{"answer":"NVIDIA Triton Inference Server supports Windows, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://developer.nvidia.com/triton-inference-server","question":"What platforms does NVIDIA Triton Inference Server support?","confidence":0.6},{"answer":"Yes. NVIDIA Triton Inference Server 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://developer.nvidia.com/triton-inference-server","question":"Can NVIDIA Triton Inference Server be self-hosted?","confidence":0.6},{"answer":"We have confirmed 8 integrations for NVIDIA Triton Inference Server, including Kubernetes, Prometheus, TensorRT, PyTorch, ONNX, OpenVINO, RAPIDS FIL and Python. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://developer.nvidia.com/triton-inference-server","question":"What does NVIDIA Triton Inference Server integrate with?","confidence":0.6},{"answer":"Yes. NVIDIA Triton Inference Server is published under the BSD-3-Clause 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/triton-inference-server/server","question":"Is NVIDIA Triton Inference Server open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true}` | `{"self_hosted":true}` |
| description.long | A managed inference service that deploys machine learning models with support for various frameworks and deployment patterns, ranging from low-latency millisecond responses to high-throughput scenarios, with integration into MLOps workflows. | An inference-serving platform for deploying multiple machine learning models in production environments, supporting diverse frameworks and providing built-in Kubernetes compatibility. |
| features.capabilities | `{"gpu_acceleration":true,"multi_model_serving":true,"multi_framework_support":true,"autoscaling_scale_to_zero":true}` | `{"open_source":true,"gpu_acceleration":true,"kubernetes_native":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"multi_framework_support":true}` |
| integrations.count | 13 | 6 |
| 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":"S3","native":true,"direction":"inbound"},{"name":"SharePoint","native":true,"direction":"inbound"},{"name":"Confluence","native":true,"direction":"inbound"}]` | `[{"name":"Kubernetes"},{"name":"Prometheus"},{"name":"TensorRT"},{"name":"PyTorch"},{"name":"ONNX"},{"name":"OpenVINO"},{"name":"RAPIDS FIL"},{"name":"Python"},{"name":"TensorFlow"},{"name":"NVIDIA TensorRT"},{"name":"vLLM"},{"name":"HuggingFace"}]` |
| language.primary | - | Python |
| license.spdx | - | BSD-3-Clause |
| market.availability | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"usage","summary":"Pay-as-you-go usage pricing. New AWS customers receive up to $200 in Free Tier credits; free tier available for 6 months.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/s3/pricing/?nc2=h_pr_s3","retrievedAt":"2026-09-29T15:03:46.730Z"}` | `{"type":"open_source","sourceUrl":"https://developer.nvidia.com/triton-inference-server","retrievedAt":"2026-08-19T14:45:54.530Z"}` |
| pricing.free_tier | yes | - |
| pricing.model | freemium | commercial |
| pricing.price_level | low | free |
| pricing.transparent | no | - |
| release.cadence_days | - | 30 |
| release.history | - | `[{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.73.0","date":"2026-09-30T22:26:40Z","type":"stable","version":"v2.73.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.72.0","date":"2026-08-31T19:07:38Z","type":"stable","version":"v2.72.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.71.0","date":"2026-07-29T16:09:26Z","type":"stable","version":"v2.71.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.70.0","date":"2026-06-26T18:41:12Z","type":"stable","version":"v2.70.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.69.0","date":"2026-06-02T17:33:03Z","type":"stable","version":"v2.69.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.68.0","date":"2026-04-28T17:10:50Z","type":"stable","version":"v2.68.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.67.0","date":"2026-03-27T16:47:26Z","type":"stable","version":"v2.67.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.66.0","date":"2026-03-02T18:04:29Z","type":"stable","version":"v2.66.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.65.0","date":"2026-02-03T20:20:28Z","type":"stable","version":"v2.65.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.64.0","date":"2025-12-24T02:01:09Z","type":"stable","version":"v2.64.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.63.0","date":"2025-11-26T01:26:44Z","type":"stable","version":"v2.63.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.62.0","date":"2025-10-31T18:54:48Z","type":"stable","version":"v2.62.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.61.0","date":"2025-10-07T22:10:06Z","type":"stable","version":"v2.61.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.60.0","date":"2025-08-26T22:15:33Z","type":"stable","version":"v2.60.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.59.1","date":"2025-07-29T21:50:01Z","type":"stable","version":"v2.59.1"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.59.0","date":"2025-06-26T23:35:58Z","type":"stable","version":"v2.59.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.58.0","date":"2025-05-31T09:16:11Z","type":"stable","version":"v2.58.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.57.0","date":"2025-05-12T18:13:57Z","type":"stable","version":"v2.57.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.56.0","date":"2025-04-07T19:30:21Z","type":"stable","version":"v2.56.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.55.0","date":"2025-02-26T19:55:19Z","type":"stable","version":"v2.55.0"}]` |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.iso27001 | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 7 |
| security.soc2 | yes | - |
| security.trust_center | https://aws.amazon.com/security/?nc1=f_cc | - |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=nvidia-genai-perf-eval&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Model Serving)

| Capability | Amazon SageMaker Inference | NVIDIA Triton Inference Server |
|---|:--:|:--:|
| **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 2026-10-15T21:21:33.788Z. "-" = undocumented, not absent.*