NVIDIA announced that Microsoft will offer NVIDIA® GPU-enables professional graphics applications and accelerated computing capabilities to customers worldwide through its cloud platform, Microsoft Azure. Deploying the latest version of NVIDIA GRID™ in its new N-series virtual machine offering Azure is the first cloud computing platform to provide NVIDIA GRID 2.0 virtualised graphics for enterprise customers.
For the first time, business will have the ability to deploy NVIDIA Quadro® –grade professional graphics applications and accelerated computing on-premises, in the cloud through Azure, or via a hybrid of the two using both Windows and Linux virtual machines. Azure will also offer customers supercomputing – class performance, with the addition of the NVIDIA Tesla® Accelerated Computing Platform’s flagship Tesla K80 GPU accelerators, for the most computationally demanding data centre and high performance computing (HPC) applications.
Unprecedented Virtualised Graphics Performance
With NVIDIA GRID, enterprises can deliver graphics-intensive applications from companies such as Autodesk, Esri and others from the cloud to their users. Announced last month, NVIDIA GRID 2.0 provides the NVIDIA Quadro GPU driver support, features and performance that graphics- intensive applications require, as well as other enhancements including double the application performance of the previous generation of GRID GPUs and Linux OS support.
Supercomputing in the Cloud
The Tesla Accelerated Computing Platform is designed from the ground up for power-efficient, HPC, computational science, supercomputing, data analytics and deep learning applications. Powering some of the world’s highest performance supercomputers, the Tesla platform delivers dramatically higher performance and energy efficiency than a CPU-only approach and unprecedented application throughput in the data centre.
By deploying the Tesla K80 GPU accelerator in its N-Series virtual machines, Azure dramatically expands access to supercomputing-class performance, enabling enterprises worldwide to accelerate their most demanding workloads, without requiring them to invest in, build and maintain dedicated computing resources.
