A new generation of GPUs and GPU-accelerated software is set to release a wave of productivity and innovation.

Many organisations are fighting an uphill battle to handle the scale and velocity of data they are harvesting. Whether training machine learning (ML) models or crunching large volumes of data, analysts and data scientists on the front line often experience frustration as their effectiveness is hindered by the limitations of compute power.

In short, data scientists need greater compute power. And this is driving a major shift to a new era of accelerated hardware one that will be defined by the emergence of a new generation of ultra-powerful GPUs (graphics processing units), and GPU accelerated software.

In this whitepaper, learn how advances in GPUs will drive performance gains for the next five years and how businesses need to ensure they have the right hardware to not only retain talented data scientists but to drive decision-making.