October 17, 2012
SANTA CLARA, Calif., Oct. 17 — Engineers and design professionals will be able to work anywhere on virtually any device and still have access to the computing and graphics performance of a GPU-powered workstation, with today's launch of the cloud-based NVIDIA VGX K2 GPU.
Built on the NVIDIA Kepler architecture – the world's fastest, most efficient GPU architecture – VGX K2 adds unprecedented workstation capabilities to the NVIDIA VGX platform, which was announced earlier this year.
The NVIDIA VGX platform utilizes the GPU to allow enterprises to efficiently deliver virtualized workstation performance and capabilities – including rich multimedia and 3D graphics – to users on smartphones, tablets or PCs. Its VGX K2 board, which includes two workstation-class GPUs, enables enterprises to increase user density without sacrificing performance or application compatibility.
Other key benefits of NVIDIA VGX K2 include:
"The VGX platform has been developed to bring rich, interactive graphics to all enterprise virtual desktop users," said Jeff Brown, general manager of the Professional Solutions Group at NVIDIA. "With VGX K2 in the data center, designers and engineers who create the core intellectual property for their companies can now access their IP from any device and still enjoy workstation-class performance."
NVIDIA and Citrix Expand Enterprise Presence of Workstation-Class Virtual Desktops
Citrix XenDesktop with HDX 3DPro uses NVIDIA VGX technology to deliver a faster, more interactive user experience. In combination with Citrix XenDesktop and Citrix XenApp, the NVIDIA VGX K2 board provides users full compatibility and performance of all their graphics and GPU computing-intensive applications. In addition, the ecosystem of Citrix Ready partners around HDX 3D will be able to use VGX K2 to provide workstation-class performance.
"NVIDIA's GPU virtualization technology builds on and accelerates Cisco's vision of delivering virtual desktops and rich-media applications through the cloud, and helps to enable enterprise customers to deploy simple, scalable and highly secure virtualization solutions," said Satinder Sethi, vice president at Cisco, an NVIDIA technology partner.
"In our increasingly global and mobile economy, companies are looking more and more to desktop virtualization as a critical solution, and we're working closely with NVIDIA to offer the most advanced virtualized user experience on the market," said Krishna Subramanian, vice president of marketing and partner engagement at Citrix. "XenDesktop with NVIDIA VGX acceleration aims to deliver workstation-class performance to the most demanding users in enterprises, while also increasing user density in their data centers."
The NVIDIA VGX K2 platform for virtual workstations is expected to be available from leading server OEMs starting in early 2013.
NVIDIA awakened the world to computer graphics when it invented the GPU in 1999. Today, its processors power a broad range of products from smartphones to supercomputers. NVIDIA's mobile processors are used in cell phones, tablets and auto infotainment systems. PC gamers rely on GPUs to enjoy spectacularly immersive worlds. Professionals use them to create 3D graphics and visual effects in movies and to design everything from golf clubs to jumbo jets. And researchers utilize GPUs to advance the frontiers of science with high performance computing. The company has more than 5,000 patents issued, allowed or filed, including ones covering ideas essential to modern computing.
Source: NVIDIA Corp.
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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