ONNX Runtime

Production-grade AI engine to speed up training and inferencing in your existing technology stack.

Free

Description

ONNX Runtime is a versatile, production-grade AI engine engineered to significantly speed up machine learning training and inferencing processes within existing technology stacks. It enables developers to enhance the performance of their AI models without needing to overhaul their current setups, making advanced AI more accessible and efficient.

This engine offers broad compatibility, supporting numerous programming languages such as Python, C#, C++, Java, and JavaScript, and operates seamlessly across various platforms including Linux, Windows, Mac, iOS, Android, and web browsers. ONNX Runtime optimizes for different hardware like CPUs, GPUs, and NPUs, and facilitates the integration of generative AI and large language models for tasks like image synthesis and text generation. It also provides robust capabilities for both large-scale model training and on-device training, catering to a wide array of AI development needs.

Key Features

Accelerated Machine Learning: Speeds up training and inferencing in existing technology stacks.
Generative AI Integration: Supports Generative AI and Large Language Models (LLMs) for image synthesis, text generation, and more.
Cross-Platform Support: Runs on Linux, Windows, Mac, iOS, Android, and web browsers.
Multi-Language Compatibility: Offers APIs for Python, C#, C++, Java, JavaScript, Rust, and others.
Hardware Performance Optimization: Optimizes for latency, throughput, and memory across CPU, GPU, NPU.
Comprehensive Inferencing: Powers AI in major products and supports cloud, edge, web, and mobile.
Advanced Training Capabilities: Reduces costs for large model training and enables on-device training.
Web Browser Execution: Runs ML models in web browsers using ONNX Runtime Web.
Mobile AI Deployment: Infuses Android and iOS apps with AI using ONNX Runtime Mobile.

Use Cases

Accelerating AI model training and inference.
Developing applications with Generative AI and Large Language Models.
Deploying AI models across diverse platforms (cloud, edge, web, mobile).
Optimizing AI model performance on various hardware (CPU, GPU, NPU).
Running machine learning models directly in web browsers.
Integrating AI capabilities into mobile applications for Android and iOS.
Cost-effective training of large-scale AI models.
Enabling on-device training for personalized user experiences.

Frequently Asked Questions

What is ONNX Runtime?

ONNX Runtime (ORT) is a production-grade AI engine designed to accelerate training and inferencing of machine learning models across various hardware and platforms. It supports multiple programming languages and is optimized for performance.

How does ONNX Runtime improve AI model performance?

ONNX Runtime optimizes models for latency, throughput, memory utilization, and binary size on diverse hardware like CPUs, GPUs, and NPUs. It offers strong out-of-the-box performance and options for further model-specific optimizations.

Can ONNX Runtime be used for Generative AI and Large Language Models (LLMs)?

Yes, ONNX Runtime facilitates the integration of Generative AI and LLMs into applications, enabling tasks such as image synthesis and text generation across different development languages and platforms.

What platforms and programming languages does ONNX Runtime support?

ONNX Runtime supports many languages including Python, C#, C++, Java, JavaScript, and Rust. It is cross-platform, running on Linux, Windows, Mac, iOS, Android, and in web browsers.

Is ONNX Runtime suitable for both training and inferencing?

Yes, ONNX Runtime accelerates both inferencing and training. It helps reduce costs for large model training and also supports on-device training for personalized experiences.