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Condor NVP2000xPF
NVIDIA® Quadro® P2000 (GP107) XMC Graphics & GPGPU Card
Chip-down design. Supports multiple video outputs. Front and Rear PMC I/O. Supports CUDA and OpenCL.
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Main Features

  • Rugged XMC Graphics Card
  • NVIDIA Quadro P2000 GPU (Pascal GP107, chip-down)
  • 4 GB GDDR5 Memory
  • 768 NVIDIA CUDA Cores
  • 2.3 TFLOPs FP32 Compute Performance
  • H.265 (HEVC) / H.264 Hardware Encode & Decode Capability
  • Rear Pn4 PMC I/O: One Dual-Link DVI & One Single-Link DVI
  • Front Panel: One Dual-Link DVI & One DisplayPort++
  • OpenGL 4.5, DirectX® 12
  • CUDA 6.1, OpenCL™ 1.2 and Shader Model 5 (GPGPU Computing)
  • Ruggedized for MIL-STD-810g Vibration, Shock, Humidity and Temperature as needed
  • Air Cooled



  • Military
  • Avionics
  • Surveillance
  • UAV
  • Naval
  • ISR
  • Embedded Systems



  • Windows 10, Windows 8, Windows 7, Linux



The Condor NVP2000xPF is a rugged XMC graphics & GPGPU card based on the NVIDIA® Quadro® P2000 (GP107) GPU featuring NVIDIA® Pascal™ GPU architecture. It is designed for use in applications that require very high-end graphics capabilities or CUDA support when performing GPGPU. This extremely rugged chip-down design, with the GPU directly on the XMC card, brings the power of NVIDIA and CUDA to a small form factor XMC card for the first time.
The board is Air Cooled with one Dual-Link DVI and one DisplayPort++ video output available from the front panel and one Dual-Link DVI and one Single-Link DVI video output available from the rear PMC connector Pn4. The Dual-Link DVI outputs are mutually exclusive. 3U VPX, 6U VPX, Compact PCI, VME, and PCIe form factors are supported with carrier boards or by mounting the card directly on single board computers (SBC’s). These boards can be used in conjunction with our Adapt™ series product line to support additional DVI or VGA from the DisplayPort output.
Condor NVP2000xPF boards are ideal for GPGPU applications such as radar and video surveillance/analysis. These XMC form factor cards offer 4 GB GDDR5 graphics memory, 96 GB/s memory bandwidth, and 768 NVIDIA CUDA cores. At maximum power consumption, the card provides 2.3 TFLOPs of single precision floating point compute performance (FP32). Another powerful feature is the H.265 (HEVC) / H.264 hardware encode/decode capability. Video data can be sent over PCIe directly to GPU memory for analysis/processing using GPUDirect DMA. Windows or Linux drivers are available for x86 systems.

This product is designed to withstand high temperature, shock and vibration environments. The board meets MIL-STD-810G standards.
EIZO Rugged Solutions is a pioneer in providing video, graphics, encoding and recording solutions for nearly three decades. Responsiveness has been the key to our success. Product customizations or new designs can be developed in a short time to meet your needs. The product comes with EIZO Rugged Solutions’ long-term commitment of availability and support.



Graphics Processor NVIDIA Quadro P2000 GPU (Pascal GP107, chip-down)
Supports DirectX 12 and OpenGL 4.5
H.265 (HEVC) / H.264 Hardware Encode & Decode Capability
Interface XMC 1.0 or XMC 2.0
8 Lane PCIe 3.0
(PCIe and 3U VPX Carrier Boards Available)
Graphics Memory 4 GB GDDR5
128-bit Memory Width
96 GB/s Memory Bandwidth
Video Outputs Rear Pn4 PMC I/O: One Dual-Link DVI* & One Single-Link DVI
Front Panel: One Dual-Link DVI* & One DisplayPort++
*Note: The Rear Dual-Link DVI and Front Dual-Link DVI are mutually exclusive
GPGPU Capabilities Supports CUDA 6.1, Open CL 1.2 and Shader Model 5.0
2.3 TFLOPs FP32
Single Floating Point Compute Performance Peak
Power Rating 25 - 50W
Operating Temperature
-40°C to 70°C (Rugged Air Cooled)
0°C to 55°C (Standard Air Cooled)
Humidity 95% Without Condensation
Vibration (MIL-STD-810G) 0.1 g2 /Hz
Shock (MIL-STD-810G) 40g
Software Support Windows or Linux on x86


This product is customizable and several variants are already available. Please email us for other possible Condor NVP2000x Series variants.


Other GPGPU products are available in XMC or VPX form factor. Please see our GPGPU page for more information. Please see our White Paper on the GPGPU page as well.


  • White Papers
  • Press Clippings
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