Intel OpenVINO Toolkit
Streamlined software for optimizing and deploying AI models.
Intel® Distribution of OpenVINO™ Toolkit is designed for developers and businesses focusing on artificial intelligence. It streamlines how deep learning models are optimized and deployed across various Intel hardware.
Users create applications that run efficiently while reducing energy consumption. With support for multiple AI frameworks, developers can utilize familiar tools to enhance their projects.
This toolkit simplifies the transition from model development to real-world applications, allowing for faster implementation and better performance in tasks like computer vision and natural language processing.
By integrating this software into workflows, businesses can effectively harness the power of AI to drive innovation and improve operations.
- Optimize AI model performance
- Deploy models on edge devices
- Streamline computer vision applications
- Enhance natural language processing tasks
- Accelerate data processing workflows
- Integrate AI into existing systems
- Facilitate remote monitoring solutions
- Improve real-time analytics
- Support intelligent automation projects
- Develop smart consumer applications
- Simplifies model deployment across platforms
- Supports multiple AI frameworks
- Optimizes performance for Intel hardware
- Reduces latency in AI applications
- Enhances efficiency in AI tasks
Pre-packaged environments for efficient machine learning model deployment.
Optimizes AI model inference for real-time applications.
Collaborative environment for training and scaling machine learning models.
Deploy AI models efficiently on various devices.
Rapidly deploy and manage AI models without server hassles.
Streamlined environment for machine learning model development.
Seamlessly connects applications for streamlined operations.
User-friendly AI model deployment with scalable GPU resources.
Product info
- About pricing: Free
- Main task: Computing
- More Tasks
-
Target Audience
AI Developers Data Scientists Software Engineers Machine Learning Engineers Tech Startups