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INTEL® DISTRIBUTION OF OPENVINO™ TOOLKIT
* Overview
* What's New
* How It Works
* Resources
* Download
DEPLOY HIGH-PERFORMANCE, DEEP LEARNING INFERENCE
The latest version (2022.1) of the Intel® Distribution of OpenVINO™ toolkit
makes it easier for developers everywhere to start creating. This is the biggest
upgrade since the original launch of the toolkit and offers more deep-learning
models, device portability, and higher inferencing performance with fewer code
changes. Get started quickly with pretrained models from the Open Model Zoo that
are optimized for inference. And since the toolkit is compatible with the most
popular frameworks, there is minimal disruption and maximum performance.
Free Download
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GET THE MOST OUT OF YOUR AI DEPLOYMENT FROM START TO FINISH
The OpenVINO toolkit makes it simple to adopt and maintain your code. Open Model
Zoo provides optimized, pretrained models and Model Optimizer API parameters
make it easier to convert your model and prepare it for inferencing. The runtime
(inference engine) allows you to tune for performance by compiling the optimized
network and managing inference operations on specific devices. It also
auto-optimizes through device discovery, load balancing, and inferencing
parallelism across CPU, GPU, and more.
HIGH PERFORMANCE, DEEP LEARNING
Train with inferencing in mind, starting with common frameworks like TensorFlow*
and PyTorch* and leveraging the OpenVINO™ toolkit Neural Network Compression
Framework (NNCF).
STREAMLINED DEVELOPMENT
Import your model into OpenVINO using the Post-Training Optimization Tool for
post-training quantization and optimization.
WRITE ONCE, DEPLOY ANYWHERE
Deploy your same application across combinations of host processors and
accelerators (CPUs, GPUs, VPUs) and environments (on-premise, on-device, in the
browser, or in the cloud).
HOW IT WORKS
Convert and optimize models trained using popular frameworks like TensorFlow,
Pytorch, and Caffe*. Deploy across a mix of Intel® hardware and environments,
on-premise and on-device, in the browser, or in the cloud.
See How it Works
WHAT'S NEW IN VERSION 2022.1
UPDATED, CLEANER API
Adopt and maintain your code more easily. This version includes better alignment
to TensorFlow conventions, fewer parameters, and minimizes conversion.
BROADER MODEL SUPPORT
Optimize and deploy with ease across an expanded range of deep-learning models
including natural language processing (NLP), double precision, and computer
vision.
PORTABILITY AND PERFORMANCE
See a performance boost quickly with automatic device discovery, load balancing,
and dynamic inferencing parallelism across CPU, GPU, and more.
View Full Release Details
EXPLORE THE CAPABILITIES AND GET STARTED
Democratize deep learning and unleash a new wave of creativity with OpenVINO.
Get started with the resources you need to learn, try samples, see performance,
and get certified—on your own desktop or laptop.
Installation and Setup
Get Started Guide
Tutorials
Documentation
Performance Benchmarks
System Requirements
Release Notes
Edge AI Certification
WATCH WEBINARS ON DEMAND
Intel's team of AI experts show you how to have AI applications running in
minutes.
Run Object Detection and Pose Estimation on Your Laptop
Analyze and Optimize Neural Network OpenVINO Deep Learning Workbench
Accelerate Model Performance with Just 2 Lines of Code Using OpenVINO
Integration with TensorFlow
OPENVINO™ INTEGRATION WITH TENSORFLOW*
Use the in-line optimizations and runtime in the OpenVINO toolkit for an
enhanced level of TensorFlow compatibility. Add the following two lines of code
to your Python* code or Jupyter* Notebook:
import openvino_tensorflow
openvino_tensorflow.set_backend('<backend_name>')
Copy Code
Accelerate inference across many AI models on a variety of Intel® silicon, such
as:
* Intel® CPUs
* Integrated Graphics from Intel
* Intel® Movidius™ Vision Processing Units (VPU)
* Intel® Vision Accelerator Design with eight Intel® Movidius™ Myriad™ X VPUs
Find Supported Models on GitHub*
LEARN MORE ABOUT OPENVINO INTEGRATION WITH TENSORFLOW
Frequently Asked Questions
Solution Brief
SUCCESS STORIES
HOW VISTRY* USES OPENVINO TO HELP RESTAURANTS
Vistry* uses data from fast food restaurants to power their AI and IoT data
analytics. This helps restaurants measure and improve their speed and quality of
service from the moment a customer pulls into the parking lot to when they
leave.
Watch
PATHR.AI* GIVES MALL OPERATORS DATA-DRIVEN INSIGHTS
With 10x performance gains enabled by OpenVINO, Pathr.ai* helps malls optimize
lease rates and improve service.
Read
EXPLORE MORE SUCCESS STORIES
View All
COMMUNITY AND SUPPORT
EXPLORE DIFFERENT WAYS TO GET INVOLVED AND STAY UP-TO-DATE WITH THE LATEST
ANNOUNCEMENTS.
Get Help
Ask on the Community Forum
Contact Intel Support
File an Issue on GitHub*
Get Answers on StackOverflow
Stay Informed
Read the Documentation
Read the Knowledge Base
Learning
Training and Certifications
Downloadable Resources
Webinars
GET STARTED
Optimize, fine-tune, and run comprehensive AI inference using the included model
optimizer and runtime and development tools.
Free Download
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The productive, smart path to freedom for accelerated computing from the
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