Tech riderRev. 4 Oct 2026
NVIDIA Triton Inference Server
- 1Runs onAPI, Linux, self-hosted, Windows
- 2CostsFree plan · free trial · paid from $375/mo
- 3Deployment modededicated
- 4GPU acceleratorsYes
- 5Private deploymentYes
- 6Supported model formatsTensorRT Plan, ONNX, TensorFlow GraphDef, TensorFlow SavedModel, PyTorch TorchScript, PyTorch 2.0
- 7Batch inferenceYes
7 lines stated Written from the maker's own pages: developer.nvidia.com, nvidia.com, docs.nvidia.com
Overview
NVIDIA Triton Inference Server is ranked #7 of 36 in deep learning software on Specifiction. It runs on API, Linux, Self-hosted, Windows. There is a free plan. A free trial is offered. Paid plans start at $375/mo.
NVIDIA Triton Inference Server plans and pricing
All plansOpen-source development Free Open-source code on GitHub · free Triton containers on NVIDIA NGC for development nvidia.com · 4 Oct 2026
NVIDIA AI Enterprise cloud production $1 Consumption / Pay as you go Cloud marketplace production use · support limited to 3 calls docs.nvidia.com · 4 Oct 2026
NVIDIA AI Enterprise subscription $4,500/yr 1 year; subscription includes support Per GPU · for production use · Business Standard Support included docs.nvidia.com · 4 Oct 2026
Compared on deep learning software
- Free plan
- Yesdeveloper.nvidia.com
- Deployment mode
- dedicateddeveloper.nvidia.com
- GPU accelerators
- Yesdeveloper.nvidia.com
- Private deployment
- Yesdeveloper.nvidia.com
- Supported model formats
- TensorRT Plan, ONNX, TensorFlow GraphDef, TensorFlow SavedModel, PyTorch TorchScript, PyTorch 2.0developer.nvidia.com
- Batch inference
- Yesdeveloper.nvidia.com
Facts
- Purpose
- Dynamo-Triton is open-source inference-serving software for deploying, running, and scaling AI models from multiple frameworks on GPU- or CPU-based infrastructure.developer.nvidia.com · 4 Oct 2026
- Frameworks
- Supported frameworks include TensorRT, PyTorch, ONNX, OpenVINO, Python, and RAPIDS FIL.developer.nvidia.com · 4 Oct 2026
- Performance features
- It offers dynamic batching, concurrent model execution, and optimized configurations.developer.nvidia.com · 4 Oct 2026
- Workloads
- It supports real-time, batched, ensemble, and audio/video streaming inference workloads.developer.nvidia.com · 4 Oct 2026
- Integrations
- It integrates with Kubernetes for scaling and Prometheus for monitoring, and NVIDIA lists availability through AWS, Azure, and Google Cloud marketplaces with NVIDIA AI Enterprise.developer.nvidia.com · 4 Oct 2026
- Deployment platforms
- It runs on NVIDIA GPUs, non-NVIDIA accelerators, x86 and ARM CPUs, and supports cloud, data center, edge, and embedded deployments.docs.nvidia.com · 4 Oct 2026
- Protocols
- Inference requests can use HTTP/REST, gRPC, or the C API; Triton also provides a Java API for in-process use cases.docs.nvidia.com · 4 Oct 2026
- Downloads
- NVIDIA lists Linux containers for x86 and Arm, plus Windows and Jetson JetPack binary releases on GitHub.developer.nvidia.com · 4 Oct 2026
- Evaluation
- NVIDIA offers a 90-day NVIDIA AI Enterprise evaluation license for Triton production inference.developer.nvidia.com · 4 Oct 2026
- Security
- NVIDIA's secure-deployment guide says solution security is the deployer's responsibility, dynamic model repository updates are disabled by default, and Triton does not sandbox arbitrary model or backend code.docs.nvidia.com · 4 Oct 2026
- Who it is for
- NVIDIA describes GitHub and NGC options for individuals developing with Triton and NVIDIA AI Enterprise for enterprises purchasing it for production.nvidia.com · 4 Oct 2026
Company
- Founded
- 1993developer.nvidia.com · 28 Sept 2026
- Headquarters
- Santa Clara, California, United Statesdeveloper.nvidia.com · 28 Sept 2026
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Where it ranks on Specifiction
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Sources
- developer.nvidia.com/dynamo-triton· checked 4 Oct 2026
- docs.nvidia.com/deeplearning/triton-inference-server/us· checked 4 Oct 2026
- docs.nvidia.com/deeplearning/triton-inference-server/us· checked 4 Oct 2026
- nvidia.com/en-us/ai/dynamo-triton/get-started/· checked 4 Oct 2026
- docs.nvidia.com/ai-enterprise/planning-resource/licensi· checked 4 Oct 2026