GPUs and CPUs Together
Why You Need a Converged Database for Data and Analytics
It’s almost becoming a cliché – in today’s business landscape, companies have more data at their fingertips than ever before. Yet, having data and using it effectively don’t necessarily go hand-in-hand. The challenge is how to handle big data in a way that enables high value answers and nets new revenue opportunities.
It is now possible to converge data and analytics with a modern database that unleashes the power of GPUs (Graphic Processing Units) to foster real-time, data-driven decisions. This type of architecture can work in conjunction with the methods used by their existing CPU (Central Processing Unit)-driven technologies (for example, SQL and BI tools). And this convergence can occur without bogging down the company in unnecessary complexity.
It is crucial to create a converged database that allows your business to systematically manage, control, and profit from its entire data and analytics stack. A GPU-accelerated database is the key to this convergence where dense compute, SQL, and rich APIs come together..