Introducing hardware-software-service bundles for on-premises machine learning customized for specific use cases, for enterprises that need to keep their computing on premises.

Mitch Wagner, Executive Editor, Light Reading

November 13, 2017

3 Min Read
Dell EMC Makes Machine Learning Road-Ready

While Oracle, IBM and others are pushing machine learning in the cloud, many enterprises see advantages to keeping IT infrastructure in-house. Dell EMC is looking to fill that desire with a line of hardware servers and services for machine learning for the enterprise.

Dell EMC Machine and Deep Learning Ready Bundles, introduced Monday, are based on Dell EMC PowerEdge C4140 servers, and customizable with software and services to specific uses, much in the way car companies standardize on chassis and customize those chassis to various needs, Armughan Ahmad, Dell EMC senior vice president and general manager for solutions and alliances, said on a webinar debuting the systems for services last week.

"They're built on the same chassis but they change the performance characteristic, so that customers looking to purchase a Volkswagen vs. an Audi or Porsche are able to get different experiences," Ahmad said.

Figure 1: Dell EMC PowerEdge C4140 is the hardware component of machine learning bundles introduced by Dell EMC. Dell EMC PowerEdge C4140 is the hardware component of machine learning bundles introduced by Dell EMC.

Keep up with the latest enterprise cloud news and insights. Sign up for the weekly Enterprise Cloud News newsletter.

Some 64% of CIOs are investing in machine learning over the next three years, Ahmad said, and Dell is looking to cash in on that opportunity. The machine learning market will be $35-$40 billion by 2025, with a compound annual growth rate (CAGR) of 52%.

Dell EMC wants to combine enterprise benefits of on-premises IT and public cloud, Ahmad said. The machine learning servers, software and services provide the simplicity of a cloud solution with the security and control of on-premises deployment.

On-premises deployment means that machine learning can take place close to the point of data origin, which is important for Internet of Things and other edge computing applications, Ahmad says. Dell sees Internet of Things as strategic to its future. (See Dell Putting Its Company Muscle Behind New IoT Strategy.)

Applications for the Dell systems include fraud detection, image processing, financial investment analysis, personalized medicine, facial recognition for security, tumor diagnosis in healthcare, and better understanding of human behavior in retail, Dell EMC says.

The Dell EMC Machine and Deep Learning Ready Bundles are based on Dell EMC PowerEdge C4140 servers running Nvidia Tesla V100 GPUs and Intel Xeon Scalable processors. The bundles will be available in the first half of 2018 through Dell EMC and channel partners, and the PowerEdge C4140 will be available worldwide next month.

Dell EMC, Cisco Systems Inc. (Nasdaq: CSCO) and Hewlett Packard Enterprise are tied for leadership of the cloud infrastructure business, according to a recent report from Synergy Research. (Cisco, HPE, Dell EMC Fighting for Cloud Infrastructure Dominance.)

Public cloud vendors are looking to woo enterprises to move their machine learning into the cloud. Oracle Corp. (Nasdaq: ORCL) is seeking to meld machine learning and artificial intelligence with its IoT cloud. (Oracle Adds Machine Learning, AI to IoT Cloud. And IBM is adding machine learning capabilities to its Integrated Analytics platform. (IBM's Integrated Analytics System Taps Into Machine Learning.)

And at least one enterprise is looking to take command of its own machine learning destiny, as John Deere acquired Blue River Technology for $305 million in September, for machine learning, deep learning and robotics expertise. (See John Deere Is a Machine Learning Company Now.)

Related posts:

— Mitch Wagner Follow me on Twitter Visit my LinkedIn profile Visit my blog Follow me on Facebook Editor, Enterprise Cloud News

About the Author(s)

Mitch Wagner

Executive Editor, Light Reading

San Diego-based Mitch Wagner is many things. As well as being "our guy" on the West Coast (of the US, not Scotland, or anywhere else with indifferent meteorological conditions), he's a husband (to his wife), dissatisfied Democrat, American (so he could be President some day), nonobservant Jew, and science fiction fan. Not necessarily in that order.

He's also one half of a special duo, along with Minnie, who is the co-habitor of the West Coast Bureau and Light Reading's primary chewer of sticks, though she is not the only one on the team who regularly munches on bark.

Wagner, whose previous positions include Editor-in-Chief at Internet Evolution and Executive Editor at InformationWeek, will be responsible for tracking and reporting on developments in Silicon Valley and other US West Coast hotspots of communications technology innovation.

Beats: Software-defined networking (SDN), network functions virtualization (NFV), IP networking, and colored foods (such as 'green rice').

Subscribe and receive the latest news from the industry.
Join 62,000+ members. Yes it's completely free.

You May Also Like