The end-user expectation and why GPU Computing is so importantBy Eli Sabatier
In just over 10 years, the world of business has witnessed one of the most fundamental and drastic evolutionary stages in history: the power of success being firmly handed to the end-user. And though this may sound odd to some, the reality is that end-users—whether internal or external—now wield an immense influence over the direction of business as a whole and its ultimate success or failure.
The driving force? User experience.
For consumers, user experience has been the impetus for what is now referred to as digital transformation: the fundamental need for companies to meet and exceed consumer expectations by delivering revolutionary customer experiences that exceed those of competitors and even non-competitors. In short, whether the competition, or even a completely different vertical market, offers something unique, consumers will expect the same experience from all companies they do business with. For instance, if the Starbucks app makes it easy to purchase coffee, the same app experience should be available to purchase an automobile or house. And though completely different in scope, the expectation doesn’t shift.
Pair that with what it takes to make that experience happen: the computing power to render everything from high resolution graphics, to instantaneous calculations through Artificial Intelligence (AI) and Machine Learning (ML) and the new world begins to require a whole new type of computing power to keep pace.
And this is just the beginning. As consumers begin to adopt new mobile devices with high resolution displays and faster processors, the use of multiple monitors (many are now 4K), and as 5G connectivity begins to come into play—all of these factors ultimately contribute to the use of more CPU resources and active memory than ever before.
Again, all of this to deliver exceptional user experiences to ensure consumers adapt and stay with their chosen brands.
However, there is also the flip side of the equation. Working backwards from what a company must deliver to its customers, equally translates to what it must create and deliver internally. From the infrastructure that supports user expectations, to the employee tools that support the organization—again, all falls under the umbrella of the need for greater computing power. And not unlike the outside world, employees will also not accept a compromised user experience.
This is where GPU computing becomes so important. Surpassing the computing power of traditional CPUs, GPUs enable the capability of performing millions of parallel mathematical operations. But why are GPUs so useful for leveraging aspects of digital transformation, AI, ML, and associated UX? After all, isn’t GPU the same thing that drove video game graphics in years past? As it turns out, it just so happens there is a parallel between graphic rendering and deep learning. Both require a massive number of matrix multiplication operations per second.
So what does this all truly mean? Well, here is the challenge for businesses of all kinds. The influx and need for everything from AI and ML, to more intense graphically oriented user experiences, IoT devices, analytics, and so much more—the need to upgrade infrastructure is at an all-time high.
Here is a direct quote from a recent Gartner report, “Gartner predicts that, by 2022, nearly $4 trillion of business value will be influenced by AI. Whether using AI to improve the customer service experience, reduce the cost of doing business or generate new revenue, we expect AI to be one of the most disruptive classes of technologies during the next 10 years.”
Furthermore, the entire case for AI according to Gartner (and the associated need for GPUs) simply comes down to making decisions faster and outpacing competitors, augmenting and supporting existing processes, and creating compelling customer experiences.
In short, if AI and ML are the future of business, and GPU is the processing force behind it, the path becomes clear: adopt GPU—or fade from existence.