YouTubeFacebookLinkedInTwitterinstagramrss

Microway Provides Vyasa Analytics NVIDIA® DGX-1™ and NumberSmasher® GPU Server



AI analytics leader enhances scale, develops new capabilities with new deployment

PLYMOUTH, MA - Aug 21, 2019 - Microway, a leading provider of computational clusters, servers, and workstations for AI and HPC applications, announces it has provided an NVIDIA® DGX-1™ supercomputer and Microway NumberSmasher® Tesla® GPU Server to deep-learning leader Vyasa Analytics. The new hardware enables Vyasa Analytics’ next phase of growth.

The NVIDIA® DGX-1™ Deep Learning Appliance delivers the fastest performance available when training neural networks and running production-scale classification workloads. The system leverages the power of eight built-in NVIDIA® Tesla® V100 GPUs with NVIDIA® NVLink™ Technology and Tensor Cores to boost the speed of deep learning training. NVIDIA® DGX-1™ performs 140X faster deep learning training when compared to a CPU-only server.

The system includes NVIDIA’s Deep Learning software stack and NGC containers. Immediately after installation, the system was ready to train models and scale Vyasa’s software. The easy-to-use DIGITS deep learning training system and interface available on DGX-1™ helps users manage training data, monitor performance, and design, compare, and select networks.

Microway’s NumberSmasher® Tesla® GPU Servers integrate 1-10 NVIDIA® Tesla® V100 GPUs with flexible GPU density. These servers are fully configurable for any customized workload. The Vyasa Analytics deployment utilized this configurability to deploy early R&D environments and test new concepts-scaled up onto the DGX-1™ when ready.

Vyasa Analytics provides a deep learning analytics platform for leading organizations in the life sciences, healthcare, business intelligence, and legal verticals. Vyasa’s highly-scalable deep learning software, Cortex, operating on NVIDIA® GPUs and Microway server hardware, applies deep learning-based analytics to enterprise data of a variety of types: text, image, chemical structure, and more. Use cases include analyzing multiple large-scale text sources and streams that include millions of documents in order to discover patterns, relationships, and trends for patent analysis, competitive intelligence or drug repurposing.

“These systems have enabled us to branch out into a number of R&D areas that were really critical for us to be able to innovate and build out new types of deep learning approaches,” says Dr. Christopher Bouton, founder and CEO of Vyasa Analytics. “As a company working in the deep learning space, we see Microway and NVIDIA® as key partners in our ability to build innovative novel deep learning algorithms for a wide range of content types.”

Microway experts architected, integrated, tested, and installed the deployments.

For NVIDIA® DGX-1™ specifications and pricing, visit https://www.microway.com/preconfiguredsystems/nvidia-dgx-1-deep-learning-system/.

###

About Microway, Inc.

Microway builds solutions for the intersection of AI and HPC.  These include Supercomputers, servers and quiet workstations designed for bleeding-edge computational performance: these products serve demanding users in the enterprise, government, and academia.

 

Since 1982, customers have trusted Microway to deliver unique and superior deployments-enabling them to remain at the forefront of supercomputing and solve the world’s toughest challenges. Microway's strategic partners include NVIDIA, Intel, AMD, Mellanox, and IBM. Classified as a small business, woman owned and operated, Microway’s GSA Schedule is GS-35F-0431N.

 

https://www.microway.com

 

 

View Next Related Story
Click here to login and leave a comment.  

0 Comments

Add Comment

Text Only 2000 character limit

Page 1 of 1