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Tuesday, March 27, 2018
NVIDIA Quadro GV100 GPU Announced for the Age of Deep Learning


In his keynote address at the GPU Technology Conference today, NVIDIA founder and CEO Jensen Huang unveiled the new Volta-based Quadro GV100, and described how it transforms the workstation with real-time ray tracing and deep learning.

The Quadro GV100 and its companion product, Quadro vDWS for the data center, address the demands large businesses - in such fields as automotive, architecture, engineering, entertainment and healthcare - to deploy deep learning-based research and development, accelerate deep learning-enhanced applications, enable photoreal VR and provide secure, anytime, anywhere access.

The new products allow professionals to design better products by taking advantage of GPU-accelerated techniques, like generative design, while they can also conduct complex simulations faster.

The new Quadro GV100 packs 7.4 TFLOPS double-precision, 14.8 TFLOPS single-precision and 118.5 TFLOPS deep learning performance, and is equipped with 32GB of high-bandwidth memory capacity. Two GV100 cards can be combined using NVIDIA NVLink interconnect technology to scale memory and performance, creating a massive visual computing solution in a single workstation chassis.

Other features of the GV100 include:

  • Easy implementation of deep learning development - Access the NVIDIA GPU Cloud container registry with GV100 or other high-end Quadro GPUs for a catalog of GPU-optimized software tools for deep learning and high performance computing on any workstation.
  • Accelerated deep learning training and inferencing on a desktop workstation - Dedicated Tensor Cores and the ability to scale two GV100s for up to 64GB of HBM2 memory with NVIDIA NVLink provide the performance required for demanding deep learning training and inferencing applications.
  • Supercharged rendering performance - Deep learning-accelerated denoising performance for ray tracing provides fluid visual interactivity throughout the design process.
  • Ability to run complex 3D simulations - Fast double-precision coupled with the ability to scale memory up to 64GB accelerates solver performance in computer-aided engineering workflows.
  • Collaborate, design and create in immersive VR - Support for advanced VR features and massive on-board memory capacity means designers can use physics-based VR platforms such as NVIDIA Holodeck to conduct design reviews and explore complex photoreal scenes and products at scale.

With newly added support for the NVIDIA Tesla V100 GPUs, Quadro vDWS has the power to address compute-intensive workflows and deliver workstation-class performance to any connected device.

With Quadro vDWS, users can:

  • Run interactive, real-time simulations such as ANSYS Discovery Live
  • Speed rendering time of photorealistic images up to 80 percent faster than with previous generations
  • Leverage AI-enhanced applications for more fluid, visual interactivity throughout the design process
  • Work from anywhere, anytime, from any connected device, while data stays secure, never leaving the data center

Quadro vDWS is available now for over 120 systems from 33 vendors. The NVIDIA Quadro GV100 is available immediately on nvidia.com and starting in April from workstation OEMs.

Live Migration Keeps VDI Deployments Up and Running

NVIDIA also announced Live migration. Using Citrix XenMotion, IT teams can migrate live, NVIDIA GPU-accelerated VMs with no impact to users. And with VMware vSphere, they can suspend desktops and resume them later on compatible infrastructure, while preserving desktop and application states.

Live migration eases routine maintenance and also facilitates proactive maintenance, meaning IT can resolve potential problems before service disruption occurs. Manual load balancing enables IT to optimize the utilization of resources without end user disruption.

In addition, IT teams can perform updates and patches more frequently, at their own time.



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