NVIDIA GRID vPC Reviews

I deploy Nvidia Grid based solutions, and have a small VDI (Virtual Desktop Infrastructure) in place for our internal graphics & heavy computing requirements, and am working on increasing our capabilities to deploy GRID based solutions to more customers The Grid capable line of products, such as the K2, K8, and Tesla line of cloud enabled graphics adapters are currently being used to power the fledgling, yet rapidly growing game streaming industry, and as the go-to solution for providing 3D graphics capabilities to VDI (remote desktop) power users (Photoshop, CAD, 3D graphics) who are traditionally left out of cloud desktop deployments, but GRID is also capable of much, much more. While a CPU generally has several (2-8) cores that are designed for processing large data-sets, a graphics processor has hundreds or thousands of cores, designed to rapidly process small datasets, which is why they are mostly used for 3-D calculations, but can be used to process anything, and I have successfully used it to process high-frequency trading algorithms, and astronomy based data. GPU processing was limited to hardware-only environments in the past, but the cloud computing method of providing actual hardware-based resources has finally brought GPUs to virtual systems, and I am eager to see what new innovations arise from this.