ADLINK’S CM5-P1000 FEATURES NVIDIA QUADRO P1000 GPU

Summary of ADLINK’S CM5-P1000 FEATURES NVIDIA QUADRO P1000 GPU


ADLINK’s CM5-P1000 is the world’s first COTS PC/104 (PCIe/104 Type 1) module featuring an NVIDIA Quadro P1000 GPU, designed for SWaP-constrained, mission-critical and industrial edge AI applications. Measuring 116 x 96 mm, it delivers 640 CUDA cores, 1.8 TFLOPS, 47 W TDP, four UHD DisplayPort outputs, PCIe Gen3 x16 connectivity, 4 GB GDDR5 (128-bit) at up to 96 GB/s, and supports Windows 10 and 64-bit Linux, targeting aerospace, defense, ISR, UGV/UAV, missile systems, factory automation, and process control.

Parts used in the CM5-P1000:

  • NVIDIA Quadro P1000 GPU
  • 4 GB GDDR5 embedded memory
  • PCIe/104 Type 1 (PC/104) module form factor
  • PCIe Gen3 interface (16 lane configuration)
  • Four UHD DisplayPort outputs
  • Coffee Lake-based Matrix computer compatibility (Adlink systems)
  • Support for Windows 10 and 64-bit Linux operating systems

We saw ADLINK releasing the industry’s first embedded MXM graphic modules based on NVIDIA’s Turing architecture, to accelerate edge AI inference in SWaP-constrained applications. Now, ADLINK Technology has come up with CM5-P1000, the world’s first COTS PC/104 module to feature NVIDIA’s Quadro P1000 GPU. It primarily targets AI-enabled mission-critical applications. Measuring just 116 x 96 mm, CM5-P1000 comes with PCIe/104 Type 1 format. It also offers the latest and leading-edge GPU benefits for your embedded system.

The CM5-P1000 comes with a compact form factor and its energy efficiency makes it suitable for the size, weight, and power (SWaP) restrictions required by aerospace and defense applications. The module’s high-performance processing power thus opens up many options for building various use cases and applications. These include radars, intelligence, surveillance and reconnaissance (ISR), unmanned ground vehicles (UGV), unmanned aerial vehicles (UAV), and missile systems, etc. Other applications include factory automation and process control.

Processing Capability Of ADLINK’s CM5-P1000

The CM5-P1000 is another step forward in ADLINK’s mission to bring NVIDIA graphics to embedded form factors. The NVIDIA Quadro P1000 Graphic Processing Unit (GPU) provides 640 CUDA cores and 1.8TFLOPS performance to the module. The GPU’s maximum power consumption, or TDP, is 47W. Adlink’s Coffee Lake-based Matrix computers are also one of the P1000-compatible Adlink systems.

Discussing further, the module comes with four ultra-high definition (UHD) DisplayPort outputs as well as a PCIe Gen3 interface with a 16 lane configuration. Additionally, this board features 4GB of GDDR5 embedded memory with a 128-bit memory width. Moreover, it also offers 96GB/s maximum memory bandwidth. The module is compatible with both Windows 10 and 64-bit Linux operating systems.

Read more: ADLINK’S CM5-P1000 FEATURES NVIDIA QUADRO P1000 GPU

Quick Solutions to Questions related to CM5-P1000:

  • What is the CM5-P1000?
    It is ADLINK’s COTS PC/104 module featuring the NVIDIA Quadro P1000 GPU for SWaP-constrained, mission-critical and industrial edge AI applications.
  • What GPU does the CM5-P1000 use?
    It uses the NVIDIA Quadro P1000 GPU.
  • What are the dimensions of the CM5-P1000?
    The module measures 116 x 96 mm.
  • How much memory does the CM5-P1000 have?
    It includes 4 GB of GDDR5 embedded memory with a 128-bit memory width.
  • What is the GPU performance and power draw?
    The Quadro P1000 provides 640 CUDA cores, 1.8 TFLOPS performance, and a maximum TDP of 47 W.
  • What display and interface outputs does the module provide?
    It offers four UHD DisplayPort outputs and a PCIe Gen3 interface with a 16 lane configuration.
  • Which operating systems are supported?
    The module is compatible with Windows 10 and 64-bit Linux.
  • What kinds of applications is the CM5-P1000 intended for?
    It targets aerospace and defense (radars, ISR, UGV, UAV, missile systems) as well as factory automation and process control.

About The Author

Muhammad Bilal

I am a highly skilled and motivated individual with a Master's degree in Computer Science. I have extensive experience in technical writing and a deep understanding of SEO practices.