VPX3-4938

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High-performance 3U VPX NVIDIA RTX 5000 Ada Generation GPU Card with ConnectX-7 NIC

The rugged VPX3-4938 high-performance embedded computing (HPEC) GPU card combines an NVIDIA RTX 5000 Ada Generation embedded GPU and an NVIDIA ConnectX Smart NIC for 100 Gigabit Ethernet (GbE) and PCI Express (PCIe) Gen5 switching in a 3U VPX module.

Designed and manufactured by WOLF Advanced Technology, the VPX3-4938 GPU card provides advanced processing capabilities for high-performance embedded computing (HPEC) and artificial intelligence (AI) processing. The ConnectX-7 provides the Ethernet and PCIe connectivity needed to move large datasets efficiently.

The NVIDIA Ada Lovelace architecture includes CUDA cores for HPEC, 4th generation Tensor cores for AI and data science computations, and 3rd generation Ray Tracing (RT) cores for visually accurate rendering. The Ada GPU uses a new TSMC 4N NVIDIA Custom Manufacturing Process to increase efficiency. The denser Ada GPUs have more CUDA and Tensor cores operating at higher clock frequencies at the same power, delivering significantly more performance per watt compared to WOLF’s previous generation product.

The NVIDIA ConnectX-7 SmartNIC provides PCIe and Ethernet connectivity. ConnectX-7 is ideal for the high-speed, secure, data transfer capabilities required for data-heavy tasks such as sensor data processing and other C5ISR tasks. The ConnectX-7 also provides support for RDMA over Converged Ethernet (RoCE), enabling the fastest method for transferring data across the network to the GPU.

The VPX3-4938 supports The Open Group Sensor Open Systems Architecture™ (SOSA) Technical Standard 14.6.11-0 and 14.6.13-0 Payload profiles.

Key Features

  • Developed in alignment with the SOSA™ Technical Standard for plug-in upgrades
  • NVIDIA RTX 5000 (AD103) GPU with 9728 CUDA Cores, 304 Tensor Cores, 76 RT Cores
    • CUDA Toolkit 12, CUDA Compute capability 8.9
    • CUDA-X AI and CUDA-X HPEC libraires
    • OpenCL 3.0, DirectX 12 Ultimate, OpenGL 4.6, OpenGL ES 3.2, Vulkan 1.2
  • NVIDIA ConnectX-7 provides the module with up to 100 GbE Ethernet and a PCIe Gen5 switch
  • 16 GB GDDR6 256-bit memory with up to 576 GB/s

Applications

  • ISR and EW applications that require the highest-performing GPGPU processing
  • SWaP-constrained deep learning inference that can benefit from the largest number of Tensor Cores in 3U
  • High-performance radar, SIGINT, EO/IR, sensor fusion, processing and display, and autonomous vehicles
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