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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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vScaler Announces Architecture For AI Development

vScaler Announces Architecture For AI Development

a Cloud Computing diagram as concept

With AI becoming more prevalent, it’s clear that a platform that can manage the complete AI development and production life cycle will become more critical.

Written By

Feb 17, 2020

Earlier this month, private cloud operator vScaler announced this week a new architecture platform for artificial intelligence development and deployment, which has been built to handle the entire lifespan of an AI project.

Businesses of all shapes and sizes are looking at AI as a way to improve productivity, customer service, and automate parts of the workforce. But, as a new technology, a lot of businesses are unsure what the final product will do, so the need for scalable infrastructure is essential.

SEE ALSO: University of Liège Makes Another Baby Step Towards GAI

vScaler has built its platform using the Nvidia DGX-2 system, which utilizes Nvidia Volta GPU platform, designed specifically for superior deep learning performance.

“With artificial intelligence becoming more prevalent in almost every industry, it’s clear that a platform that can manage the complete AI development and production life cycle will become more and more critical for organizations wishing to adopt an AI strategy,” said David Power, CTO at vScaler.

“Whether you are starting out on your AI journey or looking to scale an existing infrastructure, vScaler can help with simplifying the configuration and management of all software and storage in a cost-effective and easy to use environment”.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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