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차자포렌식 [2차 분류를 선택하세요]
WBRN-QM411
Fanless ultra-compact design
NVDIA® Jetson™ TX2 NX embedded
1 x M.2 2280 NVME for storage
Linux OS with BSP(board support package) Supports deep learning trained models Support wide-operating temperatures
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NVDIA® Jetson™ TX2 NX embedded
1 x M.2 2280 NVME for storage
Linux OS with BSP(board support package) Supports deep learning trained models Support wide-operating temperatures
- 주요사양
- 다운로드
차자포렌식
CPU | Dual-core NVIDIA Denver 2 64-bit CPU and quad-core ARM A57 Complex |
---|---|
GPU | NVIDIA Pascal™ Architecture GPU with 256 CUDA cores |
Memory | 4GB LPDDR4 |
SSD | 250GB, M.2 NVME |
Ethernet Interface | RJ45 |
Ethernet Controller | On-module embedded |
Ethernet Speed | 1 x Gigabit Ethernet (10/100/1000 Mbps) |
Display | HDMI (Max.resolution 3840X2160@60Hz) |
USB | External 1 x USB 2.0 1 x USB 3.0 Internal 1 x USB 2.0 (By Pin header) |
Operational temperature | -10 ~ 60 °C (14 ~ 140 °F) with 0.7 m/s air flow |
Operating humidity | 95% @ 40 °C; 105 °F (non-condensing) |
Dimensions (W x D x H) | 85 x 118 x 45 mm; 3.34 x 4.64 x 1.77 in |
Weight | 1.2 kg (2.64 lb) |
다운로드
- 이전글WCCD-23PD8 21.11.09
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