Combined Xeon D CPU and Nvidia GPU spanning two Voyager modules
Figure 1: VoyagerGPU Front and Rear View
Nvidia GPU technology for AI/ML and video processing at the edge
UAV and CCTV video streams provide increased security in many locations today.
With VoyagerGPU, you can analyse video in real time for inference applications but also train your AI/ML models at the edge of the network.
Additionally VoyagerGPU can transcode up to 16 HD video streams for transmission over a low-bandwidth network
Combined Xeon D CPU and Nvidia GPU spanning two Voyager modules
Figure 1: VoyagerGPU Front and Rear View
■ 7.9” L x 7.4” W x 6.4” H (201 x 188 x 162 mm)
■ 7.3 lb / 3.3 kg
■ 12 VDC Input
■ Power consumption:
■ NVIDIA Tesla P6: 170 W
■ NVIDIA Quadro T1000: 130 W
■ NVIDIA Quadro RTX3000: 170 W
■ NVIDIA Quadro RTX5000: 200 W
■ 0°C to 50°C
■ Aluminum chassis
■ NVIDIA Pascal-based GPU option:
■ Tesla P6 with 2,048 CUDA Cores
■ NVIDIA Turing-based GPU options:
■ Quadro T1000 with 768 CUDA Cores
■ Quadro RTX 3000 with 2,304 CUDA Cores, 36 RT Cores & 288 Tensor Cores
■ Quadro RTX 5000 with 3,072 CUDA Cores, 48 RT Cores & 384 Tensor Cores
■ 4 x HDMI ports
■ 2 x 10 Gb SFP+ ports
■ 2 x 1 Gb Ethernet ports
■ 2 x USB 3.0 ports
■ 1 x VGA port
■ 1 x Voyager Ignition Key (VIK+) port
■ 1 x Console Management port
■ 1 x Dual SATA 2.5” slot
Designed to:
■ MIl-STD-810
■ MIL-STD-461
■ FCC CFR 47 Part 15 Subpart B Class A
■ RoHS Directive
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