NVIDIA RTX™ 5000 (AD104) GPU with 9728 CUDA Cores, 304 Tensor Cores, 76 RT Cores
NVIDIA® ConnectX®-7 provides the module with up to 100GbE Ethernet and a PCIe Gen5 switch
16 GB GDDR6 256-bit memory with up to 576 GB/s
Module power: 100W - 140W, configurable
Overview
The VPX3U-AD5000E-CX7 HPEC module includes an NVIDIA RTX 5000 Ada embedded GPU and a ConnectX SmartNIC. The NVIDIA RTX 5000 Ada embedded GPU provides the 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 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 which to increased 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. For example, comparing the 144L to the 153L, the 153L can achieve two to three times the GFLOPS/W (depending on power and temperature limits).
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.