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What is ONNX?

ONNX offers a standardized set of operators that form the essential components for both machine learning and deep learning models, complemented by a cohesive file format that enables AI developers to deploy models across multiple frameworks, tools, runtimes, and compilers. This allows you to build your models in any framework you prefer, without worrying about the future implications for inference. With ONNX, you can effortlessly connect your selected inference engine with your favorite framework, providing a seamless integration experience. Furthermore, ONNX makes it easier to utilize hardware optimizations for improved performance, ensuring that you can maximize efficiency through ONNX-compatible runtimes and libraries across different hardware systems. The active community surrounding ONNX thrives under an open governance structure that encourages transparency and inclusiveness, welcoming contributions from all members. Being part of this community not only fosters personal growth but also enriches the shared knowledge and resources that benefit every participant. By collaborating within this network, you can help drive innovation and collectively advance the field of AI.

What is NVIDIA Triton Inference Server?

The NVIDIA Triton™ inference server delivers powerful and scalable AI solutions tailored for production settings. As an open-source software tool, it streamlines AI inference, enabling teams to deploy trained models from a variety of frameworks including TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, and Python across diverse infrastructures utilizing GPUs or CPUs, whether in cloud environments, data centers, or edge locations. Triton boosts throughput and optimizes resource usage by allowing concurrent model execution on GPUs while also supporting inference across both x86 and ARM architectures. It is packed with sophisticated features such as dynamic batching, model analysis, ensemble modeling, and the ability to handle audio streaming. Moreover, Triton is built for seamless integration with Kubernetes, which aids in orchestration and scaling, and it offers Prometheus metrics for efficient monitoring, alongside capabilities for live model updates. This software is compatible with all leading public cloud machine learning platforms and managed Kubernetes services, making it a vital resource for standardizing model deployment in production environments. By adopting Triton, developers can achieve enhanced performance in inference while simplifying the entire deployment workflow, ultimately accelerating the path from model development to practical application.

Media

Media

Integrations Supported

Azure SQL Edge
Cirrascale
Flyte
Groq
LaunchX
OpenVINO
SiMa

Integrations Supported

Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
FauxPilot
Gemini Enterprise Agent Platform
Google Kubernetes Engine (GKE)
HPE Ezmeral
LiteLLM
NVIDIA Morpheus
Prometheus
PyTorch
TensorFlow
Thunder Compute

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

ONNX

Company Website

onnx.ai/

Company Facts

Organization Name

NVIDIA

Company Location

United States

Company Website

developer.nvidia.com/nvidia-triton-inference-server

Categories and Features

AI Inference

Not specified

Machine Learning

Not specified

ML Model Deployment

Not specified

Categories and Features

AI Inference

Not specified

AI Infrastructure

Not specified

Machine Learning

Not specified

ML Model Deployment

Not specified

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