Fighting growing IT complexity with GPU ComputingBy Eli Sabatier
In the world of IT, everyone is forced to deal with complexity every day. From server sprawl and the need for virtualization, to clusters and the software that controls them, to the people-oriented side with the growing need for new and more powerful applications—everything is connected, and everything is highly complex.
In fact, addressing complexity is the most significant driving force behind IT today. And whether the complexity is viewed as the need for, and impact of, such things as digital transformation, the requirement for continuous connectivity and analysis of data, or ensuring that a company’s brand is living up to their customers’ technological expectations, complexity is at the root of all challenges.
And with that comes the need to make everything as fast as humanly possible. But with so much going on, how can processors continue to handle the demands that are placed on them every second of every day?
This is where GPU computing comes into play. And for those of you who are a little unclear as to what GPU computing is, here is a quick definition: GPU computing is the use of a Graphics Processing Unit (GPU) that typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
So, what does this really mean? Simply put, the GPU takes applications that are currently running on the CPU and makes them much faster by offloading some of the more intensive code. Most importantly, the user’s experience is made far better as everything runs faster—and in today’s world of right here right now, speed is everything.
Okay, we’ve gone through the definition part, so now onto the business part. What can GPU computing really do for modern business?
Modern business now hinges on new and exciting technologies. From Artificial Intelligence (AI), to the Internet-of-Things (IoT), predictive analytics, omnichannel customer engagement, these new ways of managing business and connecting to people and the world is what represents our collective futures.
However, the mistaken belief is that companies somehow have the power to implement such things already, but that’s just not the case. If you calculate everything from the lifecycle of IT hardware and pair that with the speed businesses can change, nothing will happen overnight. And the larger the company, the slower the evolution.
This is why companies must start evolving now to stay relevant tomorrow—and GPU computing is one of the things that must be planned for, managed, and leveraged.
And remember, GPUs are not meant to replace CPUs, nor are they some magical solution for all IT challenges. They are, however, an incredible tool that paired with a CPU will enable extremely high-intensity requests to be processed faster than ever before.
All companies now require real-time, actionable data and business intelligence, and CPUs together with GPUs make that happen.
Complexity in business is never-ending, and fighting the war on complexity is also never-ending. Having the right tools and infrastructure to fight the good fight puts you on the path to ongoing success—while never being put in a situation where you might lose the war.