GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, engineering, and enterprise applications. A simple way to understand the difference between a CPU and GPU is to compare how they process tasks. A CPU consists of a few cores optimized for sequential serial processing while a GPU consists of thousands of smaller, more efficient cores designed for handling multiple tasks simultaneously GPUs have thousands of cores to process parallel workloads efficiently. Hundreds of industry-leading applications are already GPU- accelerated. TNS has tied up with server oem Tyrone & Nvidia corporation to offer this unique form of high end computing for mission critical applications in defence & industry.