The brand new Dell EMC DSS 8440 server accelerates machine learning along with other compute-intensive workloads with the strength of as much as 10 GPUs and-speed I/O with local storage.
As high-performance computing, data analytics and artificial intelligence converge, the popularity toward GPU-faster computing is shifting into high gear. In an indication of this momentum, the TOP500 organization notes that new GPU-faster supercomputers are altering the total amount of turn on the TOP500 list. This observation arrived 2018 whenever a periodic update towards the list discovered that the majority of the new flops originated from GPUs rather of CPUs.[1]
This shift to GPU-faster computing is getting a significant effect on the HPC market. IDC projects the faster server infrastructure market will grow to greater than $25 billion by 2022, using the accelerator portion accounting in excess of 1 / 2 of that volume.[2]
“With AI occurring itself within the datacenter and also the cloud in a phenomenal rate with traditional high-performance computing more and more searching for performance past the CPU, searching for acceleration is warming up, out of the box your competition among vendors that provide acceleration products,” an IDC research manager notes.
Driving faster computing forward
At Dell EMC, the ultimate Scale Infrastructure (ESI) group helps organizations catch the faster-computing wave with a brand new accelerator-enhanced server designed particularly for machine learning applications along with other demanding workloads that need the greatest amounts of computing performance.
This latest 2-socket, 4U server, the Dell EMC DSS 8440 server, has 10 full-height PCIe slots in-front, plus 6 half-height PCIe slots at the spine to produce the best balance of accelerators, launching with 4, 8 or 10 NVIDIA® Tesla® V100 GPUs. Additionally, it incorporates extensive I/O options with as many as 10 drives of local storage (NVMe and SAS/SATA) to supply elevated performance for compute-intensive workloads, for example modeling, simulation and predictive analysis in scientific and engineering environments.
The brand new design enables accelerators, storage and interconnect on a single switch for optimum performance, while supplying the capability and thermals to support future technologies. Offering efficient performance for common frameworks, the DSS 8440 server is fantastic for machine learning training applications, lowering the time that it requires to train machine learning models and time-to-insights. It enables organizations to simply scale acceleration and sources in the pace of the business demands.
An upswing of the new machine
The DSS 8440 was created as a result of customer interest in even greater amounts of acceleration than were formerly provided by Dell EMC, based on Paul Steeves, an item manager for that new server.
As our customers push further ahead with machine learning solutions, it is apparent there was an excuse for elevated levels of faster raw horsepower,” Steeves states. “While faster servers exist from your competitors, a number of our customers want open solutions, with choice not only now, but additionally with time as technology advances.
Additionally, Dell EMC designed the DSS 8440 server particularly with machine learning learning mind, Steeves notes. For instance, the machine includes 10 high-performance local drives and extensive I/O choices to generate a more targeted solution for today’s growing quantity of machine learning workloads.
Key takeaways
- The DSS 8440 server offers very high amounts of acceleration with as many as 10 NVIDIA V100 GPUs within an open PCIe fabric architecture that enables other open-standard components to become easily put in future versions.
- The DSS 8440 server offers the raw compute performance that HPC-driven organizations need today, along with the versatility to consider new machine learning technologies because they emerge.
Putting the machine to operate
The DSS 8440 server is made for the difficulties from the complex workloads involved while training machine learning models, including individuals for image recognition, facial recognition and natural language translation.
“It is especially effective for that training of image recognition and object-recognition models, where it performs inside a couple of percentage points from the leading figures - however with an electrical efficiency premium,” Steeves notes.
Another strength from the DSS 8440 server is being able to enable significant multi-tenant abilities.
“With 10 full-height PCIe slots available, customers can assign machine learning or any other compute-intensive tasks to many different instances inside a single box,” Steeves states. “This enables these to readily distribute compute among departments or projects.”
The conclusion
As organizations exercise deeply into machine learning, deep learning applications along with other data- and compute-intensive workloads, they require the strength of accelerators underneath the server hood. The brand new Dell EMC DSS 8440 server meets this need having a versatile balance of accelerators, high-speed I/O and native storage.
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