New Dell EMC Solutions Bring Machine and Deep Learning to Mainstream Enterprises

November 13, 2017

DENVER, Nov. 13, 2017 — Dell EMC announces new machine learning and deep learning solutions, continuing the company’s work to bring high performance computing (HPC) and data analytics capabilities to mainstream enterprises worldwide. This enables organizations to take advantage of the convergence of HPC and data analytics and realize advancements in areas including fraud detection, image processing, financial investment analysis and personalized medicine. These new innovations represent the next step in the company’s focus on democratizing HPC, optimizing data analytics with artificial intelligence (AI) technology innovations, and advancing both the HPC and AI communities.

While AI techniques, such as machine learning and deep learning, are rapidly being deployed by many organizations across several industries, only a small number possess the expertise to design, deploy and manage such systems to use them effectively for rapidly gaining new insights. By leveraging Dell EMC’s ecosystem of strong, curated partnerships and internal expertise in HPC and data analytics services, the company’s new solutions offer customers the ability to harness the power of the massive amounts of their collected data, delivering faster, better and deeper business insights in real-time.

Enabling the best path for machine and deep learning

As emerging technologies, enterprises often have difficulty knowing where to begin to get the most out of their machine and deep learning solutions. To help them benefit from machine or deep learning, quickly and efficiently, Dell EMC offers customers HPC solutions focused on specific use cases and business problems backed by industry and HPC expertise and guidance.

Combined with knowledge from Dell EMC experts, the new Dell EMC Machine and Deep Learning Ready Bundles are part of a new portfolio that delivers on the commitment of democratizing HPC and helping customers achieve faster, better and deeper data insights. These Ready Bundles combine pre-tested and validated servers, storage, networking and services optimized for machine and deep learning applications. The new Ready Bundles:

  • Enable faster, better, deeper data insights: Identifying, analyzing and automating data patterns empowers customers to do more with their data in a wide range of applications such as facial recognition for security, tumor diagnosis in healthcare, and better understanding of human behaviors in the retail industry.
  • Include trusted experts: Using the knowledge and experience of Dell EMC and its strong ecosystem of technology partners helps customers get the most out of machine and deep learning solutions quickly.
  • Maximize efficiency, security and control: Enabling customers to reduce the costs associated with moving significant amounts of data in hybrid cloud environments while minimizing risk and maximizing data control.

Dell EMC Ready Bundles for Machine and Deep Learning will help mainstream enterprises worldwide get a competitive advantage from these capabilities on-premises and in hybrid cloud environments.

Dell EMC Deep Learning Ready Bundle customers will benefit from the introduction of the new Dell EMC PowerEdge C4140 server, supporting latest generation NVIDIA Tesla V100 GPU accelerators with PCIe and NVLink high-speed interconnect technology. This new offering is an example of the Dell EMC and NVIDIA strategic agreement for joint development of new HPC, data analytics, and artificial intelligence products and solutions announced at ISC’17 in June.

Dell EMC also plans to introduce Ready Bundles working closely with Intel technology. Dell EMC and Intel have embarked on a Joint Innovation Agreement to collaborate on advancing artificial intelligence, machine learning and deep learning.

Accelerate time to insights with Dell EMC PowerEdge

The new Dell EMC PowerEdge C4140 server is an ultra-dense, accelerator optimized server platform with an innovative systems design. The PowerEdge C4140 features two Intel Xeon Scalable Processors and four NVIDIA Tesla GPUs to deliver optimized performance for demanding cognitive workloads. The new PowerEdge C4140’s acceleration technology is ideal for intensive machine learning and deep learning applications to drive advances in scientific imaging, oil and gas exploration, financial services and other HPC industry verticals.

Transforming the future by expanding HPC, Big Data capabilities into machine and deep learning

Dell EMC’s new machine and deep learning solutions build on experience gained in collaborations with customers leading research that maximizes the value from machine learning.

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin actively has conducted research to identify brain tumors using machine learning as one of the first applications of its new “Stampede2” supercomputer with Intel Xeon Phi 7250 processors across 4,200 nodes connected with Intel Omni-Path Fabric. This system was developed in collaboration with Dell EMC, Intel and Seagate and ranks No. 12 on the TOP500 list of the most powerful computer systems worldwide.

Additionally, Simon Fraser University’s “Cedar” supercomputer was built for big data, including artificial intelligence, with 146 Dell EMC PowerEdge C4130 servers with NVIDIA Tesla P100 GPUs. Canada’s most powerful academic supercomputer ranks No. 94 on the TOP500 and No. 13 on the Green500, helping researchers chart new territory across several areas. University researchers use Cedar to study the continually changing DNA code in bacteria, with public health agencies worldwide, implementing faster and more effective infectious disease control measures.

About Dell EMC

Dell EMC, a part of Dell Technologies, enables organizations to modernize, automate and transform their data center using industry-leading converged infrastructure, servers, storage and data protection technologies. This provides a trusted foundation for businesses to transform IT, through the creation of a hybrid cloud, and transform their business through the creation of cloud-native applications and big data solutions. Dell EMC services customers across 180 countries – including 98 percent of the Fortune 500 – with the industry’s most comprehensive and innovative portfolio from edge to core to cloud.


Source: Dell EMC

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire