On Tuesday, 22 November 2017, Dell EMC announced the launch of its new machine learning and deep learning solutions, which according to the company is in line with it continuing its work to bring high-performance computing (HPC) and data analytics capabilities to mainstream enterprises worldwide.
Dell EMC believes that this enables organisations to take advantage of the convergence of HPC and data analytics and realise advancements in areas including fraud detection, image processing, financial investment analysis and personalised medicine.
According to the company, these new innovations represent the next step in the company’s focus on democratising HPC, optimising 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, being rapidly being deployed by many organisations 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. Dell EMC believes that by leveraging Dell’s ecosystem of 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 become a more important part of organisations, 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 new HPC solutions are focused on specific use cases and business problems backed by industry and HPC expertise and guidance.
The new Dell EMC Machine and Deep Learning Ready Bundles are part of a new portfolio that the company believes will deliver on the commitment of democratising HPC and helping customers achieve faster, better and deeper data insights. These Ready Bundles combine pre-tested and validated servers, storage, networking and services optimised for machine and deep learning applications.
According to Dell EMC the new Ready Bundles will:
- Enable faster, better, deeper data insights: Identifying, analysing and automating data patterns empowers customers to do more with their data in a wide range of applications such as facial recognition for security, tumour diagnosis in healthcare, and better understanding of human behaviours 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.
- Maximise efficiency, security and control: Enabling customers to reduce the costs associated with moving significant amounts of data in hybrid cloud environments while minimising risk and maximising data control.
Dell EMC maintains that the 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 announced that it 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.
Transforming the future by expanding HPC, Big Data capabilities into machine and deep learning
Dell EMC says that their new machine and deep learning solutions build on experience gained in collaborations with customers leading research that maximises 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 tumours 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 TOP 500 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.
The Dell EMC Ready Bundles for Machine Learning and Deep Learning will be available in the first half of 2018 through Dell EMC and its channel partners.
Armughan Ahmad, senior vice president/general manager, Hybrid Cloud and Ready Solutions, Dell EMC says: “Our customers consistently tell us that one of their biggest challenges is how to best manage and learn from the ever-increasing amount of data they collect daily. With Dell EMC’s high-performance computing experience, we’ve seen how our artificial intelligence solutions can deliver critical insights from this data, faster than ever before possible. Working with our strategic technology partners, we’re able to bring these powerful capabilities to all enterprises. When you think about what this means for industries like financial services or personalised medicine, the possibilities are endless and exciting.”