IP67 waterproof GPU PC NVIDIA Tesla T4 with 8x M12 PoE+ port
SKU:
SEMIL-1748GC
Fabrikant:
Neousys
- type de processeur : Intel Core, Intel Xeon
- Mémoire maximale : 64GB
- température de fonctionnement : -25°C/+50°C
Détails
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Introduction
SEMIL-1700GC series is one of the world's first IP67-rated, waterproof and dustproof inference server with pre-installed NVIDIA® Tesla T4 or Quadro P2200 for the most demanding environments. It is a brand new page in Neousys' chapter of innovations as it represents a new level of robustness for rugged edge AI solutions. Coupled with Intel® Xeon® E or 9th/ 8th-Gen Core™ CPU, the system delivers excellent CPU and GPU performances for advanced edge AI applications in various environmental settings. SEMIL-1700GC series features Neousys' patented system architecture* to guarantee -25°C to 70°C fanless operation in a rack or wall-mountable 2U 19" enclosure.SEMIL-1700GC series features a sophisticated thermal design to dissipate the heat generated by Tesla T4 or Quadro P2200 GPU to ensure maximum GPU performance in high-temperature environments. It has a corrosion-proof, stainless steel/ aluminum chassis with molded o-rings plus patented fusion mechanism design to offer extraordinary durability and watertight construction. SEMIL-1700GC series offers a variety of I/O connectivities, including 802.3at Gigabit PoE+, VGA, USB, COM ports and optional 10G Ethernet, all using M12 connectors for water-proof and extreme-rugged connectivity in shock and vibration conditions. Additionally, it features M.2 for NVMe SSD, 2.5" SATA storage accommodation, 8-48V wide-range DC input with ignition power control and complies with MIL-STD-810G and EN 50155.
The inference acceleration of rugged GPU computers actualized real-time AI inference applications at the edge, where extremely rough conditions are expected. By combining powerful CPU/ GPU, robust IP67 protection, true fanless wide-temperature operation, rugged M12 connectors, and standard 2U 19" rack, SEMIL-1700GC series reveals unprecedented possibilities of deploying AI to places that have yet to be reached.
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