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Nvidia Virtual Data Center Workstation Software Helps Tesla Gpu Servers

NVIDIA announced a new virtualization software feature that transforms the NVIDIA Tesla GPU Acceleration Server into a powerful workstation and provides the IT department with the resources it needs to meet the needs of an enterprise virtual office environment.


NVIDIA Quadro has hundreds of professional workstation application certification, has long been described as the industry professional visualization industry standards. NVIDIA Quadro Virtual Data Center Workstation Software (QuadrovDWS) now runs virtualized graphics and computing workloads on any virtual workstation or laptop in the NVIDIA Tesla Accelerated Data Center for an unparalleled experience. QuadrovDWS can be used for more than 120 systems from 33 system vendors, providing high-end performance for multi-enterprise users based on the same GPU, reducing cost of ownership.


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QuadrovDWS provides greater mobility and collaboration for teams around the world. It also handles more and more compute-intensive workflows related to new technologies such as 3D, photo-level rendering, virtual reality, and deep learning, both of which involve exponential growth in data size and complexity. These are particularly common in engineering and science, such as simulation in the design process to accurately predict the final product.


QuadrovDWS is powered by the Tesla GPU Accelerator based on the NVIDIA Pascal architecture, providing the following enhancements:


· Create complex 3D and photo-level realistic design capabilities - Up to 24GB of GPU memory for large immersive models.


• Productivity enhancements - doubling the graphics performance of the previous generation NVIDIA GPU architecture, enabling users to make decisions faster and better.


• Unified graphics and computing workloads - Support for accelerated graphics and computing (CUDA and OpenCL) workflows to simplify design and computer-aided engineering simulation.


· Better performance for Linux users - NVIDIA NVENC delivers better performance and user density by offloading H.264 video encoding (a compute-intensive task) from the CPU of the Linux Virtual Workstation user.


"Businesses are evolving and evolving to integrate artificial intelligence, photo-level realism, VR, and more effective employee collaboration," said Bob Pette, vice president of professional visualization at NVIDIA. "The Fortro visualization platform is also working with "The Tesla-based server, combined with QuadrovDWS, enables organizations to handle larger data sets, support the most demanding applications, and meet higher mobility requirements."


NVIDIA customers using QuadrovDWS, such as ESI Group, can support multiple engineers based on a single GPU, enabling them to remotely access powerful applications and implement immersive product visualization in real time.


"Our customers are committed to the democratization of virtual reality across the enterprise," said Eric Kam, ESI's product marketing manager. "Virtual prototypes may have similar shortcomings to physical prototypes: they are relatively expensive and due to hardware and software The use of NVIDIA QuadrovDWS and Tesla P40, our VRify applications can provide physical workstation-like power, performance and user experience, allowing users to easily manage data-intensive 3D assets, the complex Geometry is integrated into a virtual environment, running real - time multi - body physics simulations, and able to experience its designs in a VR through a browser without any limitations.


NVIDIA GRID vPC forces modern virtual office environment


While everyday manufacturing and design work is increasing, everyday applications such as Windows 10 and Office 365, as well as streaming applications like YouTube, now require graphics acceleration to provide a powerful virtual PC user experience for digital office environments The


To meet the growing demand for graphics to accelerate VDI, NVIDIA announced improvements to its NVIDIA GRID ™ vPC products. By leveraging the new additions to the NVIDIA GRID version in August 2017 and the Pascal NVIDIA Tesla GPU Accelerator based on Pascal, GRID vPC offers:


User Density and Scalability Enhancements - The Tesla P40 supports up to 24 1GB virtual desktop profiles, up 50% from the Tesla M60. Leveraging this market-leading graphics virtualization density, IT departments can optimize their infrastructure investments and provide graphics-accelerated virtual desktops and applications across the enterprise as a whole.


More in-depth vGPU insight - end-to-end management and monitoring tools provide vGPU visualization at the host or guest level. Application-level monitoring enables IT to intelligently design, manage, and support the end-user experience. Integration with VMware vRealize Operations (vprops), Citrix Director, and XenCenter enables flexibility and control over a single unified view.


Better Service - The new GPU resource scheduler helps the IT department to provide users with seamless, consistent vGPU resource allocation, to prevent noise-induced interference, and to reduce user experience.


Virtualized GPU solutions powered by Tesla provide more support for more users


NVIDIA QuadrovDWS and NVIDIA GRID vPC solutions are designed to achieve optimal performance with Pascal-based Tesla GPU accelerators.


Following the NVIDIA Tesla P4, P40 and P100, NVIDIA has introduced the new Tesla P6. It is designed for blade servers and offers 16GB of memory for up to 16 1GB virtual desktop profiles. Pascal's Tesla Accelerator provides IT departments with graphics and computing virtualization resources that meet the needs and scale of the enterprise.