Vecow’s RAC-1000 series Edge AI systems are powered by NVIDIA Jetson AGX Orin 32GB or 64GB system-on-modules, offering up to 275 TOPS of AI performance. These systems are energy-efficient and come with rugged I/O options and an IP67-rated enclosure, making them suitable for AI and robotics applications such as automated agricultural machinery, construction automation, and mobile robotics in extreme outdoor conditions.
The series includes two models: the RAC-1000, which supports 8 GMSL2 cameras through FAKRA-Z connectors for autonomous mobile robots, agricultural vehicles, and ADAS; and the RAC-1100, which features 6 GigE LAN ports with 4 PoE+ for vision AI applications. Both models are built for industrial environments and support various AI-driven tasks.
As you may know, we’ve previously covered several Vecow AI computing systems, including EAC-5000, EVS-3000, TGS-1000 Series, SPC-9000 fanless embedded system, ECX-3200, and EPBC-1000. Feel free to explore these options if you’re interested.
The Vecow RAC-1000 series specifications:
- System-on-Module
- RAC-1000 R32 and RAC-1100 R32 – NVIDIA Jetson AGX Orin 32GB with
- CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache
- GPU
- NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz
- DL Accelerator – 2x NVDLA Engines
- Video Encode – 1x 4K @60 | 3x 4K @30 | 6x 1080p @ 60 (HEVC)
- Video Decode – 1x 8K @30 | 7x 4K @30 | 11x 1080p @ 60 (HEVC)
- System memory – 32GB LPDDR5 Dynamic Random Access Memory (DRAM)
- Storage – 64GB eMMC 5.1 flash
- RAC-1000 R64 and RAC-1100 R64 – NVIDIA Jetson AGX Orin 64GB with
- CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 3MB L2 + 6MB L3 cache
- GPU
- NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1 GHz
- DL Accelerator – 2x NVDLA Engines
- Video Encode – 2x 4K @60 | 4x 4K @30 | 8x 1080p @ 60 (HEVC)
- Video Decode – 1x 8K @30 | 7x 4K @30 | 11x 1080p @ 60 (HEVC)
- System memory – 32GB LPDDR5 Dynamic Random Access Memory (DRAM)
- Storage – 64GB eMMC 5.1 flash
- RAC-1000 R32 and RAC-1100 R32 – NVIDIA Jetson AGX Orin 32GB with
- Storage – 2x M.2 Key M 2280 sockets
- Video
- 1x Digital Display interface (DDI) up to 4K60
- 1x HDMI via M12 connector
- Camera – RAC-1000 – 8x Fakra-Z connectors for GMSL 1/2 automotive cameras
- Connectivity
- 2x 10/100/1000 Base-T Ethernet GigE LAN with X-coded M12 Connector
- RAC-1100 additional LAN – 4x IEEE 802.3at (25.5W/48V) GigE PoE+ LAN with X-coded M12 Connector
- USB – 2x USB 3.1 ports
- Serial
- 2x COM RS-232/422/485 with M12 A-coded connector
- 2x isolated CAN Bus with CAN FD support (M12 A-coded)
- Expansion
- M.2 Key B socket (3042/3052)
- M.2 Key E socket (2230)
- PCIe x8 slot
- Misc
- Power Button with LED and Recovery button
- Micro USB port for OS flashing
- Power
- Input – DC 9V to 50V via 4-pin K-Code M12 connector
- Ignition Control – 16-mode Software Ignition Control
- Dimensions – 330 x 260 x 80 mm
- Weight – 7 kg
- Temperature Range
- Operating temperature
- 30W TDP Mode: -25°C to 70°C, with 0.63 m/s airflow
- 50W TDP Mode: -25°C to 55°C, with 0.63 m/s airflow
- Storage temperature: -40°C to 85°C
- Operating temperature
- Humidity – 5% to 95% Humidity, non-condensing; 95% @ 70°C relative humidity
- Shock – Operating, MIL-STD-810G, Method 516.7, Procedure I
- Vibration – Operating, MIL-STD-810G, Method 514.6, Procedure I, Category 4
- EMC – CE, FCC, EN50155, EN50121-3-2, IP67
The RAC-1000 series supports the NVIDIA JetPack 6.0 SDK based on Linux for the deployment of AI workloads. The systems support wall-mounting installations.
As noted in the specifications, the NVIDIA Jetson AGX Orin-based RAC-1000 Edge AI systems are available in four variants: RAC-1000 R32/R64 and RAC-1100 R32/R64 with different ports and module options. However, the company hasn’t provided availability or pricing details yet. We can expect this type of hardware to cost a few thousand dollars. More information about the four variants can be found on the product page.
Sayantan Nandy, an electronics engineer with over four years of hands-on experience in PCB design, circuit development and power electronics, is proficient in EAGLE CAD, Ki-Cad, and Altium. He has a proven track record of delivering efficient and effective systems. His expertise extends from R&D, and prototyping to production support, making him a valuable asset to any engineering team.
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