Product Quick Search

  * Not including RF components

Ensemble® 6000 Series GSC6202 6U OpenVPX GPGPU Dual NVIDIA processor module

Product Description

The Ensemble GSC6202 is a 6U OpenVPX carrier module that integrates two high-performance NVIDIA® GPUs for applications that can benefit from massively parallel processing on streams of high–bandwidth data delivering some of the highest GFLOP processing performance as well as the highest GFLOP/Watt performance efficiency in the industry
  • Features
  • Benefits
  • Specs
  • Request Form
  • NVIDIA Pascal™ or Maxwell™ GPGPU processing through industry-standard GPU MXM cards
  • 5.8-12.8 TFLOPS, 16-32GB of GDDR5 and PCIe Gen 3 interconnects
  • C/C++ application development with OS OpenCL, NVIDIA CUDA
  • Advanced mechanical packaging enables successful rugged deployment of MXMs

Boosting dense processing capability and exceptional processing power per watt, the Ensemble GSC6202 enables the latest commercial compute technology to be applied to defense applications such as radar, electro-optical/ infrared (EO/IR), and electronic warfare (EW). All these applications generate large amounts of raw sensor or network data that needs to be processed in real-time to extract actionable intelligence.

Each new generation of sensor arrays ushers in higher resolutions and frame rates; along the same lines, network traffic is also increasing exponentially. By offloading compute-intensive operations to GPGPUs such as Fast Fourier Transforms (FFTs), matrix multiplication, Constant False Alarm Rate (CFAR), QR Decomposition (QRD), Synthetic Aperture Radar (SAR), video codecs (H.264, JPEG2000), pattern recognition or deep packet inspection, system architects can engineer solutions that can meet today’s processing demands — with room to scale for higher performance requirements in the future while preserving significant IP investment. The NVIDIA Pascal architecture provides accelerated neural network and artificial intelligence performance for deep learning and cognitive and adaptive algorithms.


  • Two NVIDIA GPGPU MXMs designed specifically for embedded
  • Option 1: Dual NVIDIA M6 Maxwell 2.0 Architecture MXM
    • 3072 total processing cores (1536 cores per MXM)
    • 5.8 total peak theoretical TFLOPS (2.9 TFLOPS per MXM)
    • x32 total PCIe 3.0 lanes (x16 PCIe 3.0 per MXM)
    • 16 GB total GDDR5 Memory (8 GB per MXM)
    • 320 GB/s Memory Bandwidth (160 GB/s per MXM)
  • Option 2: Dual NVIDIA P5000 Pascal Architecture MXM
    • 4096 total processing cores (2048 cores per MXM)
    • 12.8 total peak theoretical TFLOPS (6.4 TFLOPS per MXM)
    • x32 total PCIe 3.0 lanes (x16 PCIe 3.0 per MXM)
    • 32 GB total GDDR5 Memory (16 GB per MXM)
    • 384 GB/s Memory Bandwidth (192 GB/s per MXM)
  • 4 Display Port display outputs (2 outputs per MXM)
  • 2 analog VGA display outputs (one per MXM)

64-Lane Configurable PCIe Switch 

  • Configurable switch allows for multiple system-level configurations
  • x16 PCIe 3.0 connections to each MXM site (32 lanes total)
  • x32 PCIe 3.0 total connections to backplane
    • x16 PCIe 3.0 OpenVPX P2 Expansion Plane
    • x16 PCIe 3.0 OpenVPX P5 Expansion Plane

IPMI (System Management) 

  • On-board IPMI controller
  • Voltage and temperature monitor
  • Geographical address monitor
  • Power/reset control
  • On-board CPLD, FRU EEPROM interfaces

OpenVPX Multi-Plane Architecture 

  • System management via IPMB-A and IPMB-B link on P0 management plane
  • Dual full x16 or dual x8 PCIe on P2 and P5 expansion plane
  • 4 DisplayPort display outputs on P6 mezzanine I/O plane
  • 2 analog VGA outputs on P3 mezzanine I/O plane


  • 6U OpenVPX and VPX-REDI
  • Cooling options for air-cooled (VITA 48.1), Air Flow-By™ (VITA 48.7), conduction-cooled (VITA 48.2), and liquid flow-through (VITA48.4)
  • 1.0” slot pitch
  • OpenVPX and VPX-REDI

Power Consumption 

  • Typically 140W