Computing Performance Advantages as Key Elements of Machine Learning and Deep Learning Ready Bundle

Dell EMC is introducing new solutions for the popularization of HPC and AI.

Dell EMC is launching the PowerEdge C4140 server for HPC (high-performance computing) and an optimized solution package for machine learning and deep learning, with a strategy to support more enterprises in utilizing HPC and AI (artificial intelligence) and drive expansion of its user base.

Dell EMC recently announced an 'IQT (IQ of Things)' strategy that combines AI and IoT for intelligent Internet of Things to target the IoT market, and disclosed plans to invest a total of $1 billion (approximately 1.1 trillion Korean won) over the next three years. Dell EMC's new solution, which aligns with this IQT strategy, helps general enterprises without AI technology or specialized personnel to independently develop capabilities in machine learning or deep learning.

The newly announced 'Machine Learning and Deep Learning Ready Bundle' from Dell EMC is an engineered system with all infrastructure including servers, storage, and networks pre-configured and validated, and includes services and software support optimized for machine learning and deep learning applications. It can rapidly analyze data patterns in various applications such as fraud detection, financial investment analysis, facial recognition for security purposes, and tumor diagnosis, enabling their application to business operations and expected to serve as a foundation for digital transformation.

The 14th generation 'Dell EMC PowerEdge C4140' server, as a key element of the 'Machine Learning and Deep Learning Ready Bundle,' boasts powerful computing performance. The C4140, scheduled for release in December this year, is an ultra-dense accelerator-based server that supports NVIDIA Tesla V100 GPU accelerators equipped with PCIe and high-speed interconnect technology 'NVLink'.

The C4140 is equipped with two Intel Xeon Scalable processors and four NVIDIA Tesla GPUs. It is ideal for intensive machine learning and deep learning applications and can handle high-dimensional cognitive computing. The C4140 is a product of strategic partnership between NVIDIA and Dell EMC, and both companies plan to continue joint research and solution development in various fields including AI, HPC, and data analytics going forward.

Meanwhile, Dell EMC's deep learning solution was developed based on numerous accumulated success cases. As an example, the supercomputer 'Stampede 2' at the University of Texas at Austin 'Texas Advanced Computing Center (TACC),' developed in collaboration with Dell EMC, Intel, and Seagate, ranked 12th among the world's 500 most powerful computers. Stampede 2, equipped with Intel Xeon Phi 7250 processors and featuring 4,200 nodes connected through Intel Omni-Path Fabric, an HPC-optimized fabric technology, is using AI technology to research brain tumors.

Additionally, the supercomputer 'Cedar' at Simon Fraser University in Canada was developed based on 146 Dell EMC PowerEdge C4130 units equipped with NVIDIA Pascal P100 GPUs for AI and big data research. Cedar, which also ranks within the top 100 among the world's 500 supercomputers, is planned for further expansion in the future and is being utilized in various fields including bacterial DNA for epidemic prevention.