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