The GPU (Graphics Processing Unit) was originally created so that computers could process graphics more easily and more quickly. Used for gaming and graphics processing, GPUs quickly became recognised for their massive parallel architecture and high throughput, making them perfect for AI applications. They offer significant performance improvements over traditional CPUs as the best solution for building modern cognitive platforms that extend our human abilities, augmenting our perceptual and cognitive faculties with digital resources.
GPUs have been instrumental in developing modern AI and will play a critical role in its continual evolution. Put simply; they can handle the large volume of data required for training AI models and deep neural networks (DNNs). GPU’s can also handle the parallel computational load required for AI inferencing, helping to squeeze more performance and intelligence out of AI applications.
In the defence context, GPUs can provide a significant advantage in training large DNNs, which are used to analyse massive volumes of data in real time. The GPU is crucial to support the ever-increasing demand for their application in the defence industry, delivering faster and more accurate image rendering and signal processing.
AI is constantly learning how to handle our data better. AI learns from datasets to make predictions about future events based on experience, whether that's predicting tomorrow's weather or detecting early signs of cyberattacks. AI utilises incredibly large datasets to make these predictions, and GPUs are the only processors that can provide the computational power required by AI platforms.
As the defence and national security sector starts to consider how to best use AI, it is worth looking at similar applications in other sectors. Familiar examples include image recognition for quality inspection, face detection for security, and pattern recognition when diagnosing illness or choosing the best treatment for individual patients. AI automates tasks such as customer service, human resources, manufacturing, risk, and supply-chain management. It is already being used to help with tasks such as accurate image rendering and in the medical field to detect cancerous cells and map genomes. Thus, it is easy to draw parallels into a defence and national security context.
Much like the internet, deep learning is relevant for every industry. It will also be highly disruptive to every industry. Over the next 15 years AI industry is forecasted to increase global market capitalisations to the tune of $30 trillion+, creating more value than the internet did.
AI is proving to be a valuable tool in many different areas of everyday life and, as it evolves, we can only expect to see more of its benefits. As GPUs are increasing the pace of evolution within AI and machine learning, industry should be making the switch now. GPUs can provide industry with faster and more accurate results, ensuring they stay competitive in today’s highly competitive market.
xAmplify is at the coal face of GPU utilisation in Australia. With a smart team utilising smart tech it is our goal to make GPU computing power as affordable, and as accessible to the Australian Defence and National Security market. 2022 is going to be a big year for defence industry, and xAmplify ready and excited to play our part.