![]() My base CentOS configuration is a minimal install with no graphical shell and a few additional packages like Nano and Open VM Tools. The GRID components will also need to be configured in your hypervisor, and you will need to have the GRID drivers for Linux. In order to do this, you will need to have a Pascal Series NVIDIA Tesla card such as the P4, P40, or P100 and the GRID 5.0 drivers. This guide will show you how to build headless virtual machines that can take advantage of NVIDIA GRID vGPU for GPU compute and CUDA. This could also allow the business to utilize GRID environments after hours for other forms of data processing. These will start finding their way into the data center, either as part of line-of-business applications or as part of IT operations tools. Many of the emerging technologies, such as artificial intelligence and deep learning, utilize GPUs to perform compute operations. They’re mainly found in high end workstations to support graphics intensive applications like 3D CAD and medical imaging.īut GPUs will have other uses in the enterprise. ![]() But GPUs also have business applications. When IT administrators think of GPUs, the first thing that comes to mind for many is gaming. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |