Growing the Dell EMC partnership with NVIDIA

Dell EMC announces resell of  the NVIDIA DGX-1 deep learning server available to organizations around the world.

For years, Dell EMC has worked to bring the power of GPU-accelerated computing to our high-performance computing customers. This is a quest that continues today, with more momentum than ever before.

During ISC 2019, Dell EMC announced a portfolio of AI systems which now includes the NVIDIA DGX-1, offering high performance for the most challenging AI workloads. You can now find NVIDIA GPUs inside several Dell EMC servers and Ready Solutions, including the new Dell EMC DSS 8440 server with up to 10 GPU accelerators, and the Ready Solutions for AI, Deep Learning with NVIDIA offering in our growing portfolio of Dell EMC Ready Solutions.

Today, we’re taking things a step further with an expanded partnership with NVIDIA. Customers have asked for NVIDIA DGX-1 to complement the existing Dell EMC PowerEdge line and it’s now available worldwide from Dell EMC. Through this partnership, Dell EMC and NVIDIA will make the power of GPU-accelerated computing conveniently available to organizations just about everywhere.

For those homing in on NVIDIA GPU-accelerated deep learning systems to stay competitive, this announcement should be cause for excitement. The NVIDIA DGX-1 is a single server with the all-NVIDIA software stack, designed for deep learning performance. It’s architected for high throughput and high interconnect bandwidth to maximize neural network training performance.

Dell EMC can help you get the most out of NVIDIA DGX-1 by pairing the system with PowerEdge servers, PowerSwitch networking, and/or storage including Dell EMC Isilon F800 scale-out all-flash NAS. With the ability to support massive concurrency, scale from 10s TBs to 10s PBs of data and linearly scale bandwidth performance up to 945 GB/s, the Isilon F800 is a perfect data complement to the high performance, high bandwidth NVIDIA DGX-1 system. It’s built for the challenges of AI applications, like deep learning, which are some of the most demanding compute and data-intensive workloads found in today’s data centers.

These new AI options allow Dell EMC customers to quickly deploy production-grade deep learning solutions for really tough use cases — from applications like genomics and precision medicine to autonomous driving and advanced driver assistance systems. Systems like these are now essential for organizations that need GPU-based AI systems into production today — not years from now.

And there are a great many organizations that fall into that category. The number of enterprises implementing AI grew by 270 percent in the past four years and tripled in the past year, according to the Gartner, Inc., 2019 CIO Survey.[1] The firm found that 37 percent of organizations have already implemented AI in some form.

Clearly, AI continues to gain momentum. To keep it going, and to open the AI doors to more enterprises, we need turnkey AI platforms that make it faster and easier to adopt applications for deep learning and other technologies for AI. At Dell EMC, we are working with NVIDIA and other world-class technology companies to bring those platforms to market, all around the world.

To learn more about getting started with deep learning solutions from Dell EMC and NVIDIA, contact your Dell EMC sales representative. Availability is subject to geographic restrictions.

[1] Gartner, Inc., “Gartner Survey Shows 37 Percent of Organizations Have Implemented AI in Some Form,” January 21, 2019.

About the Author: Ravi Pendekanti

Ravi Pendekanti is Senior Vice President of Server Solutions Product Management at Dell, Inc. His organization is responsible for developing and bringing Dell’s flagship line of PowerEdge Servers and Converged Infrastructure systems to market, covering a broad spectrum of global customers from cloud service providers and small businesses to large enterprises and organizations, all running a wide range of workloads. Most recently, Ravi served as the Vice President of the Platform Business Group at Oracle where he looked after GTM activities including Product Marketing and Sales Enablement related to the platform business that included Engineered Systems (Exadata, Exalogic, OVCA and SuperCluster), Servers, Solaris and Networking. With over two decades of extensive global experience in the enterprise and SMB segment in both hardware (servers, storage and networking) and software, Ravi has also held leadership roles at Juniper Networks, Hewlett-Packard, Sun Microsystems and Silicon Graphics. He holds a MS in Computer Science and BS in Electrical Engineering.