產品特色
- 13th/12th Gen Intel® Core™ i9/i7/i5/i3 and Celeron® processors with Intel® R680E chipset (Alder Lake S)
- Dual DDR5 SO-DIMM for up to 64GB of memory
- 4 LAN with optional PoE supported
- Dual 2.5" SATA SSD/HDD drive bays with RAID 0 & 1
- High speed NVMe storage (M.2 2280) supported
- Supports MXM 3.1 Type A, up to 5 display outputs
- -40 °C to +65 °C wide operating temperatures
- Wide range power input from 9 to 36 VDC
- Flexible I/O window supported via mPCIe modules
產品簡介
GPU Edge System for Optimizing Automation
The eBOX671B is powered by the 13th/12th gen Intel® Core™ i9/i7/i5/i3 and Celeron® processors with Intel® R680E chipset and comes with two 262-pin DDR5-4800 SO-DIMM slots with up to 64GB of system memory. It offers optimal data transferring with 2.5GbE LAN ports, cellular 5G module, and Wi-Fi 6 module support for edge computing in industrial automation. With its compatibility with MXM 3.1 Type A GPU cards, the eBOX671B can effectively accommodate up to five display outputs, ensuring optimized performance for various display requirements. The eBOX671B is well-suited for various industrial automation applications such as edge controllers, embedded controllers, machine vision, OT servers, robotics, and more.
MXM 3.1 Type A GPU Support
To achieve higher graphics performance, customers can install the MXM GPU onto the eBOX671B within the existing system footprint without increasing the system size, saving time, effort, and money.
Fanless and Rugged Design
Designed to operate reliably in industrial environments, the IP40-rated eBOX671B features a wide operating temperature of -40°C to +65°C, 3 Grms vibration resistance, and a 9 to 36 VDC power input.
Faster Access to Storage
Two 2.5” SATA HDD/SSD (RAID 0,1 supported) drive bays, one NVMe through M.2 Key M 2280 slot, and one mSATA are available for extensive storage needs. The high-speed NVMe storage also leads to a decrease in latency.
Optional Fan Kit
Along with the external fan kit, the eBOX671B can withstand an extended operating temperature as well as maximize the computing performance.