Specifications
AI Accelerator
NVIDIA Jetson T5000
CPU / GPU
NVIDIA Jetson T5000 Blackwell GPU + Arm Neoverse V3AE CPU
Memory
128 GB (8x 16 GB) with 256-bit DRAM
Storage
1x M.2 M-key 2280 supporting NVMe SSD
Camera Input
12x FAKRA Z-code with frame sync (GMSL)
Ethernet
2x 5GbE LAN, RJ45
CAN Bus
2x CAN FD
USB
4x USB 3.2 Type-A, optional
Display
1x HDMI 2.0 out
Wireless
1x M.2 E-key 2230 Wi-Fi/BT, 1x M.2 B-key 3052 4G/5G
Expansion
1x M.2 E-key 2230, 1x M.2 M-key 2280, 1x M.2 B-key 3052
SIM
1x Dual SIM card socket
Sensor Suite
Built-in IMU and GNSS
Audio
1x speaker, 1x Mic in, optional
Debug Port
1x USB Type-C
Security
TPM 2.0
Power Input
19-36 VDC, 3-pin terminal block
Dimensions
200 x 145 x 87 mm
Weight
2.8 kg
Mounting
Wall mount
Operating Temperature
-20 to +60 °C
Certifications
CE, FCC
Operating System
NVIDIA JetPack 7.0
Overview
The ACROSSER EAR-100T is a Blackwell-generation edge AI computer based on the NVIDIA Jetson T5000 module, pairing the Blackwell GPU with an Arm Neoverse V3AE CPU and 128 GB of 256-bit DRAM. It runs NVIDIA JetPack 7.0.
Twelve GMSL FAKRA camera inputs with hardware frame synchronisation define the platform: it is built for surround-view and multi-sensor autonomy stacks where cameras must be captured in lockstep. Dual 5GbE ports, two CAN FD channels, a built-in IMU and GNSS receiver, and a dual-SIM socket complete an automotive-grade sensor-fusion I/O set in a 2.8 kg wall-mount chassis.
Key Benefits
NVIDIA Jetson T5000 Blackwell compute with 128 GB memory, 12x GMSL2 FAKRA frame-synced camera inputs, built-in IMU + GNSS, and JetPack 7.0 support in a -20 to +60 °C chassis.
Applications
Autonomous vehicle perception, surround-view ADAS development, mobile robotics and AMRs, rail and port automation, and high-channel-count smart-infrastructure vision.
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