The GPU industry is set to grow exponentially over the next coming years, as the applications for GPUs widens up every day. 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’s useful for; and the use of GPUs is growing exponentially in a variety of fields of research and commercial ‘big data’ applications, including Business Analytics, 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, DNA & Genomics, pharmaceuticals, defence, logistics and beyond.
The industries that are taking advantage of this technology now have the opportunity to make the best use of the data available.
The modern processing technologies that GPUs offer give a far greater level of data insight and performance than what archaic CPU-based systems could ever offer.
Being able to find patterns, as well as anomalies across huge pools of data instantaneously has made using GPUs incredibly useful. There’s an ever-growing list of exciting real world applications, like autonomy in vehicles and out-of-this-world applications, like AI-led space exploration.
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.
The GPU accelerated database revolution and this kind of cloud computing has completely reshaped IT architecture over the past few years, with the ability for computing resources to automatically scale based on immediate requirements. Over the next few years, the vast majority of organisations are expected to have cloud based systems to meet their data, infrastructure and software needs.
As the cost structure for cloud based systems works like a utility (in which there’s no upfront infrastructure cost) paired with the ability to scale as an organisation’s growth demands, this makes good business sense and makes for an increasingly appealing proposition for enterprises of all sizes.
While GPUs have benefited from Moore’s law in the same way as CPUs, they’re not stifled in the same way. As GPUs have the ability to ‘spread’ across larger pieces of silicon, in very basic terms, 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 keeping aeroplanes in the sky, mitigating the impact of natural disasters, helping researchers to cure disease and make your autonomous car drive you to work. Watch this space.
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