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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Intel Open Edge Platform streamlines the process of developing, deploying, and scaling AI and edge computing solutions using conventional hardware while achieving cloud-like efficiency. It offers a carefully selected array of components and workflows designed to expedite the creation, optimization, and development of AI models. Covering a range of applications from vision models to generative AI and large language models, the platform equips developers with the necessary tools to facilitate seamless model training and inference. By incorporating Intel’s OpenVINO toolkit, it guarantees improved performance across Intel CPUs, GPUs, and VPUs, enabling organizations to effortlessly implement AI applications at the edge. This comprehensive approach not only enhances productivity but also fosters innovation in the rapidly evolving landscape of edge computing.

Description

The Intel® Distribution of OpenVINO™ toolkit serves as an open-source AI development resource that speeds up inference on various Intel hardware platforms. This toolkit is crafted to enhance AI workflows, enabling developers to implement refined deep learning models tailored for applications in computer vision, generative AI, and large language models (LLMs). Equipped with integrated model optimization tools, it guarantees elevated throughput and minimal latency while decreasing the model size without sacrificing accuracy. OpenVINO™ is an ideal choice for developers aiming to implement AI solutions in diverse settings, spanning from edge devices to cloud infrastructures, thereby assuring both scalability and peak performance across Intel architectures. Ultimately, its versatile design supports a wide range of AI applications, making it a valuable asset in modern AI development.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hugging Face Yes 
Intel Geti Yes 
ONNX Yes 
PyTorch Yes 
TensorFlow Yes 
Caffe No 
Cameralyze No 
Cosmian Yes 
Depot Yes 
Intel Open Edge Platform No 
Intel SceneScape Yes 
Intel Tiber AI Cloud Yes 
JupyterLab Yes 
Keras No 
Nero AI No 
Nutanix Karbon Platform Services No 
OpenCV Yes 
OpenVINO Yes 
Visual Studio Code Yes 

Integrations

Hugging Face Yes 
Intel Geti Yes 
ONNX Yes 
PyTorch Yes 
TensorFlow Yes 
Caffe Yes 
Cameralyze Yes 
Cosmian No 
Depot No 
Intel Open Edge Platform Yes 
Intel SceneScape No 
Intel Tiber AI Cloud No 
JupyterLab No 
Keras Yes 
Nero AI Yes 
Nutanix Karbon Platform Services Yes 
OpenCV No 
OpenVINO No 
Visual Studio Code No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Intel

Founded

1968

Country

United States

Website

www.intel.com/content/www/us/en/developer/tools/tiber/edge-platform/overview.html

Vendor Details

Company Name

Intel

Founded

1968

Country

United States

Website

www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Alternatives

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