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 cloud computing over recent years and is set to continue for years to come.
The power that’s available from GPU cloud computing 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 notion of having infrastructure and functionality on-demand without the traditional down payment of an investment makes a beneficial business case to enterprises of all sizes.
The cloud-based GPU industry is set to grow exponentially over the next coming years, as the applications for GPUs are realised by the vast majority of businesses seeking to accommodate the demands of their data, infrastructure and software.
How and why is GPU cloud computing used?
As a specialised microprocessor, GPUs have the ability to take on intensive computations and entire datasets on board, enabling users to instantly 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) insurance, financial, telecoms, healthcare, pharmaceuticals, defence, logistics and beyond.
The modern processing technologies that GPUs offer provide a far greater level of data insight and performance than what archaic 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 headed?
While GPUs, like CPUs, have benefited from Moore’s law – which suggests that we can expect the speed and capability of computing to increase every couple of years with costs reducing proportionately – unlike CPUs, they’re not stifled in the process. . A more powerful GPU can be achieved when the number of GPU cores are increased. 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 almost guaranteed to play their part in advanced aerospace travel, mitigating the impact of natural disasters, helping researchers to cure disease and make advancing vehicular autonomy.
Powered by GPU Cloud Computing
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 modeling to determine future performance and conclude potential outcomes based on both historical and current data.
GPU-accelerated systems are also inherently well suited to provide interactive visualisation in real-time for enormous datasets.
for the monumental rate of progress being found in the GPU industry, and why progress isn’t looking to slow down at any point soon.
To learn more about the capabilities of GPU computing, as well as how it can enable on-demand insights for your enterprise, visit Brytlyt today and begin a free demonstration of their revolutionary serverless technology. For any questions or enquiries you may have, contact them here.
