PNY VCGRIDK2M-R2L-PB Datasheet

Category
Graphics cards
Type
Datasheet

This manual is also suitable for

PNY VCGRIDK2M-R2L-PB is a professional-grade graphics card designed to accelerate virtual desktops and workstations. It is powered by the NVIDIA GRID K2 GPU, which features 3072 CUDA cores and 8GB of GDDR5 memory. This gives it the power to handle even the most demanding graphics applications, such as CAD, CAM, and video editing.

The PNY VCGRIDK2M-R2L-PB is also equipped with a number of features that make it ideal for virtualized environments. These include:

  • NVIDIA GRID vGPU technology: This technology allows the card to be shared among multiple virtual machines, each with its own dedicated GPU resources. This can help to improve performance and reduce costs by consolidating multiple physical GPUs into a single server.

PNY VCGRIDK2M-R2L-PB is a professional-grade graphics card designed to accelerate virtual desktops and workstations. It is powered by the NVIDIA GRID K2 GPU, which features 3072 CUDA cores and 8GB of GDDR5 memory. This gives it the power to handle even the most demanding graphics applications, such as CAD, CAM, and video editing.

The PNY VCGRIDK2M-R2L-PB is also equipped with a number of features that make it ideal for virtualized environments. These include:

  • NVIDIA GRID vGPU technology: This technology allows the card to be shared among multiple virtual machines, each with its own dedicated GPU resources. This can help to improve performance and reduce costs by consolidating multiple physical GPUs into a single server.
PNY Professional Solutions
NVIDIA GRID - GPU Acceleration for the Cloud
- www.pny.eu-
QUADRO
ADVANCED VISUALIZATION
PNY Professional Solutions
TESLA
PARALLEL COMPUTING
NVS
COMMERCIAL
GRAPHICS
PREVAIL & PREVAIL
ELITE SSDs
PROFESSIONAL STORAGE
GRID
PARALLEL COMPUTING
- www.pny.eu-
Professional
Solutions
#1 Brand of Professional Graphics Solutions
» ~ 75% Market Share
Powering the most advanced solutions in the world
» Visualization Centers Boeing, Porsche, Peugeot, BMW
» Medical Imaging Mass General
» Scientific Computing Los Alamos, Sandia
» Digital Film Production Disney, ILM, Dreamworks
» HD Broadcast Graphics ESPN, CNBC, CNN
Engineered for performance and quality
» Certified on all leading professional applications
Delivering the broadest range of Professional Graphics Solutions
- www.pny.eu-
PNY Service and Commitment
3 year warranty
1
Pre-sales support and configuration assistance
2
Support for all workstation brands and complex installations
3
Advanced replacement for mission-critical deployments
4
Dedicated Quadro Field Application Engineers
5
Support escalation for prompt issue resolution
6
Certified software support and bug reporting
7
Published product support and training materials
8
- www.pny.eu-
Task Worker
VDI Circa 2011
- www.pny.eu-
Power
User
Designer Task Worker
Knowledge
Worker
A TRUE PC EXPERIENCE
Delivered to any device
for the hundreds of millions of
power users who want to
bring their own devices to
work
GRID Powered VDI
- www.pny.eu-
VIRTUAL DESKTOPS
VIRTUAL MACHINE
NVIDIA Driver
NVIDIA GRID Enabled
Virtual Desktop
NVIDIA GRID GPU
NVIDIA GRID ENABLED
Hypervisor
VDI
VDI
- www.pny.eu-
1
Number of users depends on software solution, workload, and screen resolution
NVIDIA GRID K1
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
Form Factor Dual Slot ATX, 10.5” Dual Slot ATX, 10.5”
Display IO None None
Aux power requirement 6-pin connector 8-pin connector
PCIe x16 x16
PCIe Generation Gen3 (Gen2 compatible) Gen3 (Gen2 compatible)
Cooling solution Passive Passive
# users 4 - 100
1
2 64
1
OpenGL 4.3 4.3
Microsoft DirectX 11 11
VGX Hypervisor support Yes Yes
NVIDIA GRID K2
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OS
App
OS
App
OS
App
Guest OS
App
Server
CPU
The virtualized server
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
HYPERVISOR
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
Guest OS
App
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
VMware ESX / vSphere
Microsoft HyperV
Redhat KVM
Citrix XenServer
Open Source…
Server 2008 R2
Server 2012
Linux
SAP
Oracle
Exchange Server
Web Server
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GPUs in a Virtual Desktop
GPU pass-through 1:1 dedicated GPU to user
Shared GPU Software virtualization of the GPU
VGX Hardware virtualization of the GPU through
the NVIDIA VGX Hypervisor
- www.pny.eu-
Guest OS
Server
CPU
GPU Pass-Through
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
HYPERVISOR
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
App App App App
VDA
Client
GPU
NVIDIA
Driver
GPU
- www.pny.eu-
Guest OS
Server
CPU
GPU Pass-Through
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
HYPERVISOR
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
App App App App
VDA
Client
GPU
NVIDIA
Driver
NV Accelerated Capture
Kepler HW Encoding
GRID K1
GRID K2
Quadro 2000-6000
Quadro K5000
NVIDIA Pass-through
GPU
- www.pny.eu-
Guest OS
Server
CPU
GPU Pass-Through
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
HYPERVISOR
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
App App App App
VDA
Client
GPU
NVIDIA
Driver
Accelerated Capture
Citrix XenDesktop 5.6 FP1
View 5.2 (Feb 2013)
Kepler HW Encoding
TBD
GPU
NVIDIA Pass-through
XenServer 6
ESX 5.1
KVM coming soon
Xen open source
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GPU Sharing
Also known as
Software Virtualization
API intercept
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App App App VDA
HYPERVISOR
Guest OS
Virtual
Graphics
Driver
OS
Virtual
Graphics
Driver
Guest OS
Server
CPU
GPU Sharing
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork vGraphics
Client
GPU
NVIDIA
Driver
Virtual
Graphics
Driver
Graphics APIs
Rendered Desktop
App App App VDA
App App App App
VDA
- www.pny.eu-
HYPERVISOR
Guest OS
Server
CPU
GPU Sharing
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
App App App App
VDA
Client
GPU
NVIDIA
Driver
Virtual
Graphics
Driver
RemoteFX
Microsoft Server 2008 R2 DX9
Microsoft Server 2012 DX9, 10, 11
VMware vSGA (Feb 2013) DX9, OGL2.1
GRID K1, K2
Quadro 4000, 5000, 6000
Tesla M2070Q
vGraphics
- www.pny.eu-
VGX
Also known as
Hardware Virtualization
vGPU or Virtual GPU
VGX GPU Hypervisor
- www.pny.eu-
Guest OS
VIRTUAL MACHINE
HYPERVISOR
NVIDIA
Driver
Guest OS
VIRTUAL MACHINE
NVIDIA
Driver
Guest OS
Server
CPU
HW GPU Virtualization
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
App App App App
VDA
Client
GPU
NVIDIA
Driver
vGPU
VGX GPU
Hypervisor
Graphic Commands
- www.pny.eu-
HYPERVISOR
Guest OS
Server
CPU
HW GPU Virtualization
Hardware
Memory Storage Network
Software
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtual
Driver
Virtualization
VIRTUAL MACHINE
vCPU vMemory vStorage vNetwork
App App App App
VDA
Client
GPU
NVIDIA
Driver
vGPU
VGX GPU
Hypervisor
GRID K1, K2
Citrix XenServer
NVIDIA VGX Hypervisor
from NVIDIA
Standard NVIDIA Driver
- www.pny.eu-
GRID ENABLED SOLUTIONS
ROADMAP
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PNY VCGRIDK2M-R2L-PB Datasheet

Category
Graphics cards
Type
Datasheet
This manual is also suitable for

PNY VCGRIDK2M-R2L-PB is a professional-grade graphics card designed to accelerate virtual desktops and workstations. It is powered by the NVIDIA GRID K2 GPU, which features 3072 CUDA cores and 8GB of GDDR5 memory. This gives it the power to handle even the most demanding graphics applications, such as CAD, CAM, and video editing.

The PNY VCGRIDK2M-R2L-PB is also equipped with a number of features that make it ideal for virtualized environments. These include:

  • NVIDIA GRID vGPU technology: This technology allows the card to be shared among multiple virtual machines, each with its own dedicated GPU resources. This can help to improve performance and reduce costs by consolidating multiple physical GPUs into a single server.

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