Like it or not disruption and change is here to stay… In an increasingly polarised world, where we are defined as either being in one side or the other, it can be quite hard to embrace different points of view. We are divided, not just in our opinions on the world in general, but also in terms commercial and operational decisions. We are divided by ethnicity, age, gender, experience and brand affinity. Each of us brings with us baggage when it comes to server workloads, based on our history and perceived future demands.
Regardless of our perceptions, the impact of demographics, ethnic diversity and gender equality are forces that we have to not only deal with but embrace if we are going to remain relevant in business.
Workloads are becoming increasingly disrupted
So too is the need to manage the volatility of workloads, as well as entirely new workloads born of an age of rapid digital evolution.
When it comes to planning server infrastructure, what it took to run legacy systems of record and then subsequently systems of engagement (CRM), and now with systems of intelligence (AI, IoT, Blockchain) all constitute very different workloads and systems demands. What will be required going forward will be the ability to utilise an architecture that can cope not just with yesterday and the demands of today, but also those of tomorrow.
Being a little “ageist” we could say that IBM Power is dated, tired and relevant to the old. However looking a bit further (and keeping an open mind), it’s possible to see that age and experience, resilience and adaptability, as well as an ability to embrace the new, might just be the right thing when it comes to handling the diverse workloads of the old along with the new. While not first, IBM Power does offer up some very distinct advantages compared to the competition, especially when it comes to machine learning and AI – as this article by Forbes points out…
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.
Embracing change is a mindset, a mindset that requires us to see past the constructs of the past and understand how to adapt to the new reality (or new normal). Approaching server and infrastructure requirements with the same mindset will enable your organisation to be more agile and adaptive going forward.
I’d be interested in hearing your comments – let me know and join the debate below..
Likewise, I’m always up for a chat if you have any questions on how you can optimise your investment in SAP by reducing infrastructure costs or reach me via linkedin.