OmniSci Extends Its GPU-accelerated Analytics Offering To Microsoft Azure Cloud

SAN FRANCISCO, April 16, 2019 /PRNewswire/ -- OmniSci, the pioneer in GPU-accelerated analytics, today announced the availability of its big data analytics platform on the Microsoft Azure Marketplace. Effective today, subscribers can use their OmniSci license on Azure to create a cloud-based data analytics solution capable of querying and visualizing billions of rows of data with millisecond-level response times.

"OmniSci is dedicated to making analytics instant, powerful and effortless for everyone. Extending our platform to Microsoft Azure, one of the world's premier cloud computing services, is one more important step towards fulfilling that mission," said Aaron Williams, Vice President, Global Community at OmniSci.

Demand for GPUs in the cloud is increasing, driven by their massive parallel processing power and ability to accelerate compute-intensive applications. With the debut on Microsoft Azure NC-Series virtual machines powered by NVIDIA GPUs, OmniSci is now available on all of the leading cloud infrastructure providers.

"Microsoft is dedicated to making world-class, value-driven solutions available in Azure for every enterprise need. OmniSci GPU-accelerated analytics is an important addition to our Azure ecosystem," said Raj Thiagarajan, Director of Success Management, Microsoft for Startups. "Our joint customers will find it easy to implement OmniSci, starting today on Azure Marketplace."

The OmniSci platform can be deployed on Microsoft Azure in just minutes. Those with on-premise Enterprise edition licenses can seamlessly move their OmniSci platform to Azure; others can get a free trial license here and deploy via Azure Marketplace. For more information, visit the OmniSci listing in the Marketplace.

About OmniSci
OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs, the platform is available in the cloud (OmniSci Cloud and leading public cloud providers) and on-premise (OmniSci Core and Enterprise Edition). OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). OmniSci is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. The company is headquartered in San Francisco. Learn more about OmniSci at www.omnisci.com.

MEDIA CONTACT:
Rachel Wille
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SOURCE OmniSci

Related Links

http://www.omnisci.com

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