GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:
Learn how to implement NVIDIA GRID technology in virtual desktop and application environments for graphics accelerated use cases. Apply industry-leading best practices to accurately assess the user community's current graphical application parameters and GPU utilization and use the data to accurately size and scale the vGPU implementation in VDI use cases. Monitor virtual GPUs to proactively detect changes in performance requirements of the end-user community and manage the end-user experience and to pinpoint performance bottlenecks in the environment.
Learn how to implement NVIDIA GRID technology in virtual desktop and application environments for graphics accelerated use cases. Apply industry-leading best practices to accurately assess the user community's current graphical application parameters and GPU utilization and use the data to accurately size and scale the vGPU implementation in VDI use cases. Monitor virtual GPUs to proactively detect changes in performance requirements of the end-user community and manage the end-user experience and to pinpoint performance bottlenecks in the environment.  Back
 
Topics:
GPU Virtualization, AEC & Manufacturing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5111
Streaming:
Share:
 
Abstract:
Georgia Tech's College of Engineering (CoE) is providing students and faculty with a wide variety of complex software packages covering many engineering application domains. CoE has been leveraging a combination of Citrix XenDesktop/XenApp and NVIDIA GRID technologies to provide remote access to some of the most graphics intensive engineering software. Learn from Georgia Tech's experiences about leading practices in the delivery of high performance graphics applications with NVIDIA GRID in conjunction with App and Desktop Virtualization. This session will also cover tools and processes that help GRID customers monitor, manage the user experiences and make design decision on how to size their XenDesktop/XenApp environments to meet demand.
Georgia Tech's College of Engineering (CoE) is providing students and faculty with a wide variety of complex software packages covering many engineering application domains. CoE has been leveraging a combination of Citrix XenDesktop/XenApp and NVIDIA GRID technologies to provide remote access to some of the most graphics intensive engineering software. Learn from Georgia Tech's experiences about leading practices in the delivery of high performance graphics applications with NVIDIA GRID in conjunction with App and Desktop Virtualization. This session will also cover tools and processes that help GRID customers monitor, manage the user experiences and make design decision on how to size their XenDesktop/XenApp environments to meet demand.  Back
 
Topics:
GPU Virtualization, AEC & Manufacturing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5128
Streaming:
Download:
Share:
 
Abstract:

Learn how to implement NVIDIA GRID technology in virtual desktop and application environments for graphics accelerated use cases. Apply industry-leading best practices to accurately assess the user community's current graphical application parameters and GPU utilization and use the data to accurately size and scale the vGPU implementation in VDI use cases. Monitor virtual GPUs to proactively detect changes in performance requirements of the end-user community and manage the end-user experience and to pinpoint performance bottlenecks in the environment.

Learn how to implement NVIDIA GRID technology in virtual desktop and application environments for graphics accelerated use cases. Apply industry-leading best practices to accurately assess the user community's current graphical application parameters and GPU utilization and use the data to accurately size and scale the vGPU implementation in VDI use cases. Monitor virtual GPUs to proactively detect changes in performance requirements of the end-user community and manage the end-user experience and to pinpoint performance bottlenecks in the environment.

  Back
 
Topics:
GPU Virtualization, Graphics and AI, Big Data Analytics, Computer Aided Engineering
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4686
Streaming:
Download:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next