The Challenge

As a deep learning software and analytics company, Vyasa’s demands for computing power are much higher than the average organization. 

Embracing the cloud for flexibility and scalability would mean running all of its high-compute R&D activities on machines it didn’t own, producing an unpredictable monthly stream of costly bills. Alternatively, going with a hybrid architecture, they would be required to invest in their own hardware, as well as to find a location to store, run and manage the systems infrastructure. 

The Solution

With Markley, Vyasa has the secure, reliable lab infrastructure they need to innovate and advance what’s possible. “Doing that on our own systems at Markley versus in the cloud provides us with much greater control over our resources and the ability to iterate on our algorithms and data sets more quickly without incurring more expense," Bouton said.

Now, the Vyasa development lab is housed in the Markley data center with 2N uninterruptible power and cooling, with high performance Direct Internet Access (DIA) connectivity back to its corporate headquarters. Their direct relationship with Markley provides access to Markley’s technical teams for support and expertise across high performance computing, networking services, expansion of racks, additions of new hardware and more.

Vyasa Analytics provides deep learning software and analytics for life sciences and healthcare organizations. Their deep learning A.I. software portfolio includes Layar, its secure, highly scalable data fabric platform, Synapse, its SaaS-based tabular data analytics application, and Cortex, its deep learning powered-image analytics application. Organizations use Vyasa technologies to build dynamic deep learning data fabric ecosystems that enable the identification of trends and patterns across enterprise data sources to gain insights and drive better decision making.