Dell EMC on Wednesday rolled out a bevy of products that are designed to link the two companies and provide the glue to a huge portfolio of enterprise technologies. Michael Dell is betting big on scale and a model that he argues can be nimble. HPE CEO Meg Whitman says you can't have it all so focus on speed and innovation On September 7, Dell completed its acquisition of EMC to form Dell Technologies. A bit more than a month later, Dell EMC is hosting a customer event designed to illustrate how the two sides are better together. While it's early in the integration process between EMC and Dell -- a lot of the heavy lifting will occur at the end of the current fiscal year in February -- the company is moving quick to align products so they interoperate.
Dell EMC Isilon delivers the data needed for high-performance machine learning and deep learning. With superior capabilities for low latency, high throughput and massively parallel I/O, Dell EMC Isilon is the ideal storage complement to GPU accelerated compute for AI workloads, effectively compressing the time needed for training and testing analytical models for multi-petabyte data sets. As an added benefit, Isilon All-Flash storage can be added to an existing Isilon cluster to accelerate and unlock the value of massive amounts of unstructured data.
This year's annual user conference will be the last for EMC as an independent company, assuming Dell's pending US 67 billion acquisition goes through later this year as planned. Michael Dell will join EMC's Chairman and CEO on stage during the Monday keynote session. But EMC's core storage business is likely to stay much the same in the short term, because it complements Dell, said Enterprise Strategy Group analyst Mark Peters. "Clearly, Dell is buying a bigger and better storage company," Peters said. EMC, a diverse federation of businesses, is kicking off the conference with a new backup offering and a storage array priced for mid-sized enterprises.
Artificial intelligence initiatives are springing up in almost every industry and generating a huge market in their wake. Gartner predicts that AI augmentation will generate $3.9 trillion in business value by 2022 alone. What's more, Gartner says that AI promises to be the most disruptive class of technologies during the next 10 years, driven by increases in computational power, advances in storage technology, the availability of new data and the ubiquity of deep learning toolkits. Organizations making the journey to AI face a multitude of complex choices related to data, skillsets, software stacks, analytic toolkits and infrastructure components. Each of these choices has significant implications for the time to value associated with AI initiatives.
Dell EMC and Nvidia said a reference design for artificial intelligence workloads is now available and part of a portfolio of converged systems designed for machine learning and scaling next-gen workloads. The reference architecture combined Dell EMC all-flash Isilon F800 with the Nvidia DGX-1. AI is becoming a critical workload for enterprises and storage giants are rolling out building blocks to build out machine learning and AI workloads. The Dell EMC-Nvidia system will be offered through Dell partners FusionStorm-Computacenter, Insight, Presidio, Sirius and WWT. Other storage vendors ranging from NetApp to Pure Storage to IBM and HPE are all targeting AI workloads as well as working with frameworks such as TensorFlow and Pytorch.