Military Embedded Systems

NVIDIA Quadro Turing TU104/106 GPGPU Processor Modules for ISR/EW and AI Applications

Eletter Product

NVIDIA Quadro TuringThree new NVIDIA Quadro Turing (TU104/6) GPU/inference engine-based OpenVPX™ modules expand Curtiss-Wright’s family of high performance embedded computing (HPEC) processors for artificial intelligence (AI) applications.

Designed to support compute-intensive ISR and EW systems, the fully rugged VPX3-4925VPX3-4935, and VPX6-4955 modules feature Tensor Cores (288, 384, and 768 respectively) that are ideal for accelerating tensor/matrix computation used for deep learning neural network training and inference used in deployed and artificial intelligence (AI) applications requiring TFLOPS of accelerated processing. These applications include high-performance radar, SIGINT, EO/IR, data fusion ingest, processing and display, and autonomous vehicles.

The size, weight, and power (SWaP) optimized VPX3-4925 module, a 3U OpenVPX GPGPU processor, features a NVIDIA Quadro Turing TU106 (RTX3000E) GPU that delivers 6.4 TFLOPS/TIPS performance. It provides 2304 CUDA® cores, 288 Tensor Cores and 36 ray-tracing (RT) cores.  For higher performance in SWaP-constrained applications, the 3U VPX3-4935 module, features a NVIDIA Quadro Turing TU104 (RTX5000E) GPU that delivers 11.2 TFLOPS/TIPS. The VPX3-4935’s higher core count includes 3072 CUDA Cores, 384 Tensor Cores, and 48 RT Cores. For more demanding applications, the 6U form factor VPX6-4955 (6144 CUDA cores, 768 Tensor Cores, 96 RT Cores) hosts dual TU104 GPUs for 22 TFLOPS/TIPS performance. Designed to work in conjunction with NVIDIA TensorRT™, CUDA, the modules’ Turing Tensor Cores add INT8 and INT4 matrix operation while continuing support for high-precision workloads. To meet demanding rugged military and aerospace specifications, these GPGPU boards feature a chip-down design.

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New NVIDIA® Quadro® Turing™ TU104/106 GPGPU Processor Modules for ISR/EW and AI Applications:


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