DA-1200-N97
Ultra-compact, rugged industrial PC featuring Intel Alder Lake-N Processor N97, dual 2.5GbE LAN, versatile storage options, and modular expansion capabilities for IoT and industrial automation applications.
The DC-1300 is the entry-level option in the DIAMOND product line, specially designed for basic industrial applications. This model is configured with the Intel® Processor N97 (Alder Lake-N, 4 cores up to 3.60 GHz, 12W TDP) and provides maximum expansion flexibility in a compact design. It features a single DDR5 4800 MHz SO-DIMM socket supporting up to 16GB, dual Intel® I226 2.5GbE LAN, multiple USB ports, and dual RS-232/422/485 serial ports.
Storage and expansion options include a 2.5" SATA bay or Half-Slim SSD, two M.2 Key B sockets, plus CMI and CFM technology for optional I/O and power-ignition module expansion. The fanless, cableless, jumper-less unibody chassis supports wide operating temperatures (-40 to 70°C) and wide voltage input (9–48 VDC), and meets MIL-STD-810H and industrial EMC standards.
Other products in this category
Ultra-compact, rugged industrial PC featuring Intel Alder Lake-N Processor N97, dual 2.5GbE LAN, versatile storage options, and modular expansion capabilities for IoT and industrial automation applications.
Versatile, high-performance fanless embedded computer with Intel Pentium N4200, dual GbE LAN, triple display support, and extensive I/O for advanced industrial and IoT applications.
Efficient, compact fanless embedded computer with Intel Celeron N3350, dual GbE LAN, triple display support, and versatile I/O for diverse industrial and IoT applications.
High-performance, compact fanless embedded computer with Intel Celeron J1900, dual GbE LAN, and extensive I/O for advanced industrial computing tasks.
High-performance, compact fanless embedded computer with Intel Atom E3845, dual GbE LAN, and robust I/O for demanding industrial applications.
Start typing to search products and categories
Press / anywhere to open search
No results for ""
Browse all productsSomething went wrong. Please try again.
We use analytics tags (e.g. Google Analytics) to understand how visitors use our site. Essential first-party features stay on either way. Privacy Policy