OpenVINO vs cnvrg.io: What are the differences?

OpenVINO: A free toolkit facilitating the optimization of a Deep Learning model. It is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance; cnvrg.io: An end-to-end machine learning platform to build and deploy AI models at scale. It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud.

OpenVINO and cnvrg.io can be primarily classified as "Machine Learning" tools.

Some of the features offered by OpenVINO are:

• Optimize and deploy deep learning solutions across multiple Intel® platforms
• Accelerate and optimize low-level, image-processing capabilities using the OpenCV library
• Maximize the performance of your application for any type of processor

On the other hand, cnvrg.io provides the following key features:

• Machine Learning Pipelines
• AI Library
• Open Compute