May 18, 2020 by kittycool only

Webinar – Build the Most Powerful Data Center with GPU Computing Technology and High-speed Interconnect

Build the Most Powerful Data Center with GPU Computing Technology and High-speed Interconnect

Date: Thursday, June 11, 2020
Time: 11:00am-12:30pm Singapore Time

Please join NVIDIA as we discuss how to design a well-balanced system that maximizes performance and scalability of various workloads using NVIDIA GPUs and interconnect

Speakers will provide an overview of the state-of-the-art NVIDIA GPU accelerated compute architecture and In-Network computing fabric and how they come together with one goal: to deliver a solution that democratizes supercomputing power, making it readily accessible, installable, and manageable in a modern business setting. To learn more about this webinar click here

April 22, 2019 by kittycool only

Nvidia DGX POD for Research Reference Architecture

Abstract from the Document

The NVIDIA® DGX POD™ for Research (Research POD) reference architecture provides a blueprint for university High Performance Computing (HPC) centers to design a computing resource that is cost effective, designed for the future, and sized to support a wide variety of researchers and applications.

NVIDIA DGX POD for Research – WhitePaper

March 9, 2019 by kittycool only

Nvidia DGX Software and Enterprise Red Hat Linux

Here are documentation and release notes if you wish to have information whether you can use RHEL on DGX

February 9, 2019 by kittycool only

Getting on board Nvidia GPGPU on CentOS KVM

For vGPU test you’ll need a license, which can be requested here:
https://www.nvidia.com/object/nvidia-enterprise-account.html
Other documentation for installing vGPU on Red Hat / CentOS is here:
https://docs.nvidia.com/grid/latest/grid-vgpu-user-guide/index.html#red-hat-el-kvm-install-configure-vgpu
Virtual GPU Software Quick Start Guide
https://linuxcluster.wordpress.com/2019/01/28/virtual-gpu-software-quick-start-guide/

In summary the steps are:
– Install a piece of sw in the host/hypervisor to help virtualize GPUs
– Install the GPU drivers inside the guest OS of the VMs
– Install a license server (flex) for the licensing
– Configure license server and settings within the VM to connect to the license server