GPU Acceleration And Parallel Computing For Industry Applications
Built from the ground-up to enhance parallel computing applications through GPU-Accelerated compute, those who work within the fields of healthcare, science, automotive design, artificial intelligence, weather research and molecular dynamics - all of which require complex data processing performance based on real-time simulations - will see an incredible amount of benefits from using Nvidia Tesla graphics cards.
Designed from an architectural standpoint through the means of driver-specific applications and optimisations for data center workloads, Nvidia Tesla GPU work as an accelerator for processing data which would commonly be associated with a CPU. Utilizing a large quantity of processing cores for parallel computing which have been designed to run a vast array of programming languages as well as CUDA-based acceleration, workflows can see more than 20X the speed in performance, along with support for a great number of features, functions and development tools.
