Why cognitive workloads are the new normal for server infrastructure

Everyday 2.5 quintillion bytes of data are generated according to Domo. This amount of data is both boon and a burden. It is boon when you can turn that data into an asset and uncover not only insight but also create entirely new business models from it. It is a burden considering the processing power that will be required to mine and reap rewards. Included in this staggering total is a vast amount of SAP HANA data.

Take Uber – it did not exist 10 years ago – yet each day it is generating insight for more than 46,000 rides. With 1.6 billion swipes each day on Tinder we are getting to know each other in ways previously hidden from view.

 

IBM Power Systems and Cognitive Workloads

Each of the 2.5 quintillion bytes is offering up insight not yet fully realised with systems of intelligence. Built on systems of record and systems of engagement, systems of intelligence or cognitive workloads are fast becoming the key to unlocking the real potential of your data – including SAP HANA data streams. Consequently, the right workload architecture is necessary to handle AI as well as more traditional loads like SAP HANA. As this recent Forbes article argues…

By leveraging these leading foundries, IBM has the flexibility to leverage the highest density and most cost-effective process technology. In addition, IBM has focused the design of the Power architecture on overall system performance and leveraging software, such as PowerAI, for improved data flows. The area that is critical in both AI training and inference is bandwidth to memory, to accelerators and to the network.

So as the new normal in our everyday life is to use Uber and Tinder and Instagram and Amazon and generate 2.5 quintillion bytes of data – so too is the need for server infrastructure that is reliable, scalable and secure – all of which you get with IBM Power Systems.

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