How is GPU processing used by organisations?

11th November 2021 by Brytlyt

Getting the most out of the technology available to an organisation is always a great way to make sure you stay ahead of the competition.

Like any resource, it needs to be managed efficiently to ensure any waste is eliminated and any front-loaded costs are kept to a minimum – that’s where a GPU-powered cloud solution makes for a compelling business case.

Over the past few years, cloud-based GPU processing has completely reshaped IT architecture, due to the ability to scale with the growth of an organisation, as well as how current demand dictates.

The cloud-powered GPU industry is forecast to grow significantly over the next coming years, as a wider array of applications for GPUs are realised by the vast majority of businesses seeking to accommodate the demands of their data, infrastructure, and software.

Today, many of us take the level of connectivity we experience for granted, often without a consideration for the technology that makes it happen. A lot of this is due to the advances made in GPU Processing computing over recent years and is set to continue for years to come.

How does GPU processing work?

As a specialised microprocessor, GPUs have the ability to take intensive computations and entire datasets on board, enabling users to instantly and interactively visualise, query, and power data workflows over billions of lines of data.

A tool is only as good as what it is useful for, and the uses of GPUs are growing exponentially in a variety of fields of research and commercial ‘Big Data’ applications, including Business Intelligence, Location Intelligence, Data Science & Analytics, Visualisation, Deep Learning & Machine Learning.

By taking advantage of the power and performance that GPUs can offer, this has accelerated process-intensive tasks across a variety of industries, including (but not limited to) healthcare, insurance, telecoms, financial services, pharmaceuticals, defence, logistics and beyond.

The modern processing technologies that GPUs offer provide a far greater level of data insight and performance than what legacy CPU-based systems could ever offer.

Being able to find patterns and anomalies across vast pools of data instantaneously has made using GPUs incredibly useful. With an ever-growing list of real world applications, such as autonomy in vehicles and AI-led space exploration, the capabilities of GPUs continue to be realised throughout all industries.

GPU-accelerated systems are also, by their very nature, inherently well suited to provide interactive visualisation in real time for enormous datasets for a truly dynamic analytics experience.

Where are GPU-Accelerated systems heading?

A more powerful GPU processing environment can be achieved quite simply, by increasing the number of GPU cores. This accounts for the monumental rate of progress being found in the GPU industry, and why it’s not looking to slow down at any point soon.

In the future, GPUs are guaranteed to play their part in a variety of advanced applications including helping researchers to cure disease, individually tailored marketing communications, mitigating the impact of natural disasters and advancing vehicular autonomy.

Powered by GPU Processing

CPUs (Central Processing Units) are highly versatile and good at handling multiple tasks. However, GPUs are typically far more powerful and can handle specific tasks incredibly well – making them perfect for taking on repetitive and specialised computing processes at speed, as well as enabling AI, Deep Learning, and Machine Learning tools.

AI and ML can power predictive analytics to better identify patterns in data that can determine the likelihood of future emergence. This allows organisations to decide where best to focus resources, thus, making intelligent predictions about the future.

Predictive analytics is a component of Business Intelligence that’s becoming increasingly augmented by both Artificial Intelligence and Machine Learning, by using statistics and modelling to determine future performance and conclude potential outcomes based on both historical and current data.

Why use Brytlyt?

  • Our end-to-end platform delivers decision support and business intelligence, offering critical insights.
  • Brytlyt helps you interactively query, visualise and power data science workflows over billions of records with a wide range of accelerated analytics solutions.
  • Built on PostgreSQL, we empower users to analyse more data, faster and with ease.

Our Analytics Workbench

Brytlyt’s analytics visualisation workbench means our clients can generate smarter intelligence at incredible speed. This information can be processed in many ways. Reports and summaries are good, but interactive dashboards that give users the power to make decisions in real time deliver the agility required to be way ahead of the competition.

By understanding the importance of data-driven businesses, we help our clients find meaning in their data with rapidly accelerated analytics.

At the forefront of the GPU Processing revolution

Our unique GPU IP technology has been developed to be at the very forefront of the transformational insight revolution. Our next generation platform with ‘speed of thought’ analytics is built for ambitious businesses who want to harness their rapidly growing datasets to their full potential.

We know data; and we know how to help businesses get the most out of huge amounts of data, in an instant.

A truly smart integration

Instead of overhauling existing systems, our platform can be easily integrated into most business environments. Brytlyt is the future-proofed approach to data processing and business analytics.

Tomorrow’s technology, today

Plus, its adaptable functionality means you can continue to develop the platform as your needs change.

To learn more about how Brytlyt can help transform your data processing and business analytics processes, or to get started, get in touch here.