Markley Newsroom

Vyasa Analytics Partners with Markley Group to Drive Deep Learning Innovation

Posted on October 02, 2018 by Timothy Sherbak

Markley’s mission-critical data center will be home to Vyasa’s infrastructure for paradigm-shifting deep learning analytics

BOSTON – October 2, 2018 – Vyasa Analytics, a fast-growing provider of innovative deep learning software and analytics for life science and healthcare organizations, announced today that it has selected Markley Group to house its GPU-based compute infrastructure. Markley is New England’s largest, most comprehensive mission-critical data center, network and cloud provider.

Vyasa’s secure, highly-scalable deep learning software, Cortex, allows users to apply deep learning in specialized ways to large scale data sets like text, images, quantitative data and chemical structures. The partnership with Markley is part of $1.8 million in funding Vyasa received from MassDevelopment’s Emerging Technology Fund to hire and scale the company’s underlying infrastructure in Boston.

“For a deep learning company like Vyasa, it’s important to innovate around the newest hardware and capabilities and invest in a hybrid architecture of both cloud compute capability and our own compute infrastructure. By partnering with Markley, we’re able to house our deep-learning infrastructure and expand our performance capabilities for our clients, beyond what was possible before,” said Vyasa founder and CEO, Christopher Bouton. “Markley has built a terrific team of professionals that is highly specialized in the life sciences and pharma spaces making them the perfect fit for Vyasa.”

Markley is a premier provider of mission-critical data center, networking and cloud computing services. With facilities in Boston and Lowell, Mass., and cloud points-of-presence across the country, Markley provides best-in-class infrastructure, high bandwidth network services, state-of-the-art security and 24x7 on-site maintenance by operating engineers, technicians and support staff. Markley provides data center, network and cloud services to the world’s top universities, corporations, life sciences and pharmaceutical companies.

“For today’s life sciences and healthcare organizations, scalable, high density computing capabilities and time to solution are critical,” said Steve Litster Ph.D., chief technology officer at Markley. “At Markley, our goal is to deliver unparalleled performance, reliability and services to every one of our customers. We’re thrilled that Vyasa has selected our mission-critical data center to support its GPU-based compute infrastructure, and we look forward to supporting the company’s efforts in deep learning analytics.”

Vyasa’s partnership with Markley comes on the heels of the company being accepted into the NVIDIA Inception Program. Through these achievements and efforts, Vyasa will be able to continue to grow its specialization in GPU-based computing while providing higher performance capabilities for its clients. For more information on Vyasa and its deep learning capabilities for the life sciences and pharmaceutical industries, please visit

About Vyasa Analytics

Vyasa Analytics provides deep learning software and analytics for life sciences and healthcare organizations. Cortex is Vyasa’s secure, highly scalable software platform for collaborative knowledge discovery and data analytics. Using Vyasa’s proprietary Neural Concept Recognition technology, Cortex identifies trends and patterns across disparate data sources, empowering project teams to gain insights and drive better decision making. Learn more and watch the Cortex explainer video at

About Markley Group

Markley Group is a premier provider of mission-critical data center facilities, networking and cloud computing services. The company is trusted by Fortune 1000 companies, major global consumer brands, and the world’s most cutting-edge research firms to deliver high availability, consistent performance, and unparalleled client service. Markley is the only company in the world that hosts supercomputing-as-a-service solutions. To learn more about Markley, please visit: