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Condor NVP2100 Series
NVIDIA® Quadro® P2000 (GP107) XMC Graphics & Video Capture Cards
Chip-down NVIDIA design. Supports multiple video inputs and outputs. Supports CUDA and OpenCL.
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Overview

The Condor NVP2100 Series products are rugged XMC graphics and raw video capture cards based on the NVIDIA Quadro Pascal P2000 (GP107) GPU architecture. The cards are designed for use in applications that require very high-end graphics capabilities or CUDA support when performing GPGPU as well as raw video capture and display. The cards have multiple video inputs and outputs of various formats such as 3G-SDI, DVI, DisplayPort, TV and VGA on front, rear XMC or rear PMC connectors. The cards are available as Conduction Cooled or Air Cooled.
3U VPX and PCIe form factors are supported with carrier boards.
 
The Condor NVP2100 graphics processors are ideal for general purpose graphics processing unit (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 the 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.
 
The video capture (frame grabber) part of the card auto detects the input resolution and then transfers raw video frames directly to GPU memory or host memory. In GPU memory, the applications can do processing such as image analysis, image enhancement, 360-degree video stitching, sensor fusion and target detection, using GPGPU (CUDA / OpenCL), with minimal latency. The captured data can also be encoded using the GPU native H.265 (HEVC) or H.264 encoders directly in the GPU memory. Windows or Linux drivers and API are available for x86 systems.
 
This product is designed to withstand the high temperature, shock and vibration environments defined in MIL-STD-810G.
 
EIZO Rugged Solutions, Inc. 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.
 
The Condor NVP2100 Series variants are listed below. Click the title or picture for more information.

Product Variants

Condor NVP2102xX

Condor NVP2102xX new_small.gif

NVIDIA® Quadro® P2000 (GP107) XMC Graphics & Video Capture Card

The Condor NVP2102xX is a rugged XMC graphics & video capture card based on the NVIDIA Quadro P2000 (GP107) GPU featuring NVIDIA Pascal GPU architecture. The cards are designed for use in applications that require multiple video inputs and very high-end graphics capabilities or CUDA support when performing GPGPU. The card has two 3G-SDI, two DVI/DisplayPort and one VGA video output available from the rear XMC I/O connector. Four 3G-SDI video inputs are also supported. This XMC form factor card offers 4 GB GDDR5 graphics memory, 96 GB/s memory bandwidth and 768 NVIDIA CUDA cores. At the 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. 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 configuration.

This product is customizable and several variants are already available. Please email us.

 

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.

 

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