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NVIDIA

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Focus on Quality of the End-User Experience. Core Competence in Citrix Technologies. Average 15 years Citrix Experience. Dell Preferred Partner (DVS, server, storage ... – PowerPoint PPT presentation

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Title: NVIDIA


1
NVIDIA GRIDGPU Acceleration for the
CloudSteve Harpster, Solutions
ArchitectNorth/South Americasharpster_at_nvidia.com
Brad Truman, VP-SalesWhitehat Virtual
Technologies, Austin TXBrad.Truman_at_whitehatvirtua
l.com512-762-1855
2
  • Focus on Quality of the End-User Experience
  • Core Competence in Citrix Technologies
  • Average 15 years Citrix Experience
  • Dell Preferred Partner (DVS, server, storage,
    networking)
  • Only NVIDIA GRID Partner in Texas

3
(No Transcript)
4
Virtualization 101
VDA
Guest OS
Software
NVIDIADriver
VirtualDriver
VirtualDriver
VirtualDriver
VirtualDriver
Client
VIRTUAL MACHINE
GPU
Virtualization
vCPU
vMemory
vStorage
vNetwork
HYPERVISOR
Server
Hardware
CPU
Memory
Storage
Network
GPU
5
QUADRO Workstation
GRID GPU Virtualized Datacenter
6
NVIDIA GRID K2
DESIGNER
NVIDIA GRID K1
POWER USER
GPU 4 Kepler GPUs 2 High End Kepler GPUs
CUDA Cores 768 (192/GPU) 3072 (1536/GPU)
Memory Size 16GB DDR3 (4GB/GPU) 8GB GDDR5 (4GB/GPU)
Max Power 130 W 225 W
Equivalent Quadro with Pass-through Quadro K600 (entry) Quadro K5000 (high end)
KNOWLEDGE WORKER
1 Number of users depends on software solution,
workload, and screen resolution
7
NVIDIA GRID Enabled OEM Platforms
For more information on GRID enabled servers
visit www.nvidia.com/buygrid
8
(No Transcript)
9
VDI SOLUTIONS ROADMAP
10
Graphics Options in Virtualization
11
GRID Enabled Roadmap for Citrix XenDesktop
12
2H 2013 XenDT 7
13
GRID vGPU Hardware Virtualization
Hypervisor
Virtual Machine
2H 2013 XenDT 7
GPU Hypervisor
Guest OS
Apps
Hypervisor Device Emulation Framework
Virtual GPU Manager
Virtual Desktop
Remote Protocol
NVIDIA GRID USM (Driver)
Resource Manager
Partition GPU memory allocate to lt 8 VMs
Graphics Commands
State
NVIDIA GRID GPU
Per-VM Dedicated Channels
Remote Display
Per-VM Dedicate Channel
GPU MMU
Per-VM Dedicate Channel
Per-VM Dedicate Channel
4GB memory per GPU
14
GRID vGPU Profiles
Card Physical GPUs Virtual GPU Use Case Frame Buffer (MB) Virtual Display Heads Maximum Resolution Maximum vGPUs Maximum vGPUs
Card Physical GPUs Virtual GPU Use Case Frame Buffer (MB) Virtual Display Heads Maximum Resolution per GPU per Board
GRID K2 2 GRID K260Q Typical Designer 2048 4 2560x1600 2 4
GRID K2 2 GRID K240Q Entry-Level Designer 1024 2 2560x1600 4 8
GRID K2 2 GRID K200 Knowledge Wkr 256 2 1920x1200 8 16
GRID K1 4 GRID K140Q Basic Designer 1024 2 2560x1600 4 16
GRID K1 4 GRID K100 Knowledge Wkr 256 2 1920x1200 8 32
15
GRID vGPU Hardware Virtualization
  • PARTITION GRID K2 GPU FRAMEBUFFER
  • 1 user XDT VM at 4GB memory (Quadro K5000 memory
    size)
  • 2 user XDT VMs at 2GB each (Quadro 4000
    memory size)
  • 4 user XDT VMs at 1GB each (Quadro 2000
    memory size)
  • 8 user XDT VMs at 256MB each (Low-Resolution VDI)

2H 2013 XenDT 7
NVIDIA GRID K2
4GB memory per GPU
4GB memory per GPU
16
GRID Enabled for Citrix XenApp 6.5
App Virtualization (Sessions)
Virtual Workstation
DESIGNER
Citrix HDX 3D XenApp 6.5 add-on Windows
Server GPU sharing for OpenGL 4.2 DirectX 11
Citrix HDX 3D XenApp 6.5 Windows Server GPU
sharing for DirectX 9
Citrix XenApp 5 Windows Server CPU based
software rasterization
POWER USER
VDI
KNOWLEDGE WORKER
17
XenApp in a VM
Software
GPU 1
GPU 2
Virtualization
HYPERVISOR
Server
Hardware
CPU
Memory
Storage
Network
GRID K2
18
GRID Enabled Solutions Roadmap for VMware
Virtual Workstation
DESIGNER
POWER USER
VDI
API-Intercept
KNOWLEDGE WORKER
19
(No Transcript)
20
GRID Enabled Solutions Roadmap for Microsoft
Available Now
Virtual Workstation
DESIGNER
POWER USER
VDI
KNOWLEDGE WORKER
21
Linux Application Desktops
  • Red Hat KVM with GPU Pass-Through announced at
    SuperComputing13 in November
  • Beta in Fedora core 20
  • Production RHEL 7

22
Linux in a VM
  • RHEL
  • Ubuntu
  • CentOS

Remote VDA Session
Software
  • HP RGS
  • NICE DCV

GPU 1
GPU 2
Virtualization
HYPERVISOR
  • Red Hat KVM
  • XenServer
  • VMware ESXi

Server
Hardware
CPU
Memory
Storage
Network
GRID K2
23
Status June 2013
HDX 3D Pro XenDesktop XenServer
DESIGNER (CATIA, CS6, Inventor)
OGL 4.3 DX 9, 10, 11 NVIDIA CUDA
HDX 3D XDT AE/XenApp XenServer
POWER USER (PLM, Med. Image, Showcase)
OGL 4.3 DX 9, 10, 11 NVIDIA CUDA
vDGA View vSphere
KNOWLEDGE WORKER (MS Office, Photoshop)
vSGA View vSphere
OGL 2.1 DX 9
RemoteFX
TASK WORKER (Call Center Apps)
OGL 1.1, DX 9, 10, 11
Server 2012 Hyper-V
24
Big graphics ISVs
ARCHITECTURE, ENGINEERING, CONSTRUCTION (AEC)
MFG PRODUCT DESIGN
CIVIL ENGINEERING
ENERGY NATURAL RESOURCES
Revit, AutoCAD
CATIA, SolidWorks
Micro Station
ArcGIS Explorer
Inventor, AutoCAD
SmartPlant
SolidEdge, Teamcenter
Creo, Pro/E
25
GRID Reference Architecture




User NVIDIA GRID Hypervisor Virtual Desktop Agent Recommended Configuration
Designer K2 4 Users 2 GRID K2 boards Dual socket server 64 GB system memory
Power User K1 8 Users 2 GRID K1 boards Dual socket server 96 GB system memory
Knowledge Worker K1 8-32 Users 2 GRID K1 boards Dual socket server Minimum 128 GB system memory
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