Specifications
Type
Rugged 15.6-inch mobile workstation / laptop
Processor
Intel Core i5-1340P (12-core, up to 4.6 GHz) or Core i7-1370P (14-core, up to 5.2 GHz)
Discrete Graphics
Optional NVIDIA RTX A1000 or RTX A2000
Memory
8 GB – 64 GB (dual-slot)
Storage
64 GB – 2 TB SSD
Display
15.6-inch FHD 1920 x 1080 touchscreen, 1,200 nits
NVIS Option
MIL-STD-3009 Class B NVIS mode (daylight 800 nits / 0–0.7 nits)
Operating System
Windows 10/11 IoT Enterprise
Durability
IP65-rated rugged enclosure
Battery
2x hot-swappable batteries (11.4 V, 5400 / 8000 mAh)
Dimensions
1.66 x 15.16 x 10.57 in (42 x 385 x 268.5 mm)
Weight
9.70 lb / 4.4 kg
Ports
3x USB-A, 1x Gigabit Ethernet, 1x COM, 1x HDMI
Power Adapter
19 V, 230 W
Security
NIST-compliant BIOS option
Certifications
FCC Class B, CE, IC
Applications
Field engineering, BIM modeling, laser scanning, imaging, GIS, defense
Overview
The DT Research LT355 is a rugged 15.6-inch mobile workstation that can be equipped with NVIDIA RTX A1000 or RTX A2000 discrete graphics, making it suitable for graphics-intensive field applications such as engineering, BIM modeling, laser scanning, imaging and GIS.
Its 15.6-inch full-HD touchscreen delivers 1,200 nits of brightness for outdoor readability, with an optional MIL-STD-3009 Class B NVIS mode for night-vision compatibility. Processing is handled by 12th/13th Gen Intel Core i5-1340P or i7-1370P, with 8 to 64 GB of dual-slot RAM and up to 2 TB of SSD storage.
The IP65-rated enclosure, dual hot-swappable batteries and 4.4 kg chassis make the LT355 a genuinely field-deployable workstation for engineers, surveyors and defense users who need desktop-class graphics off the grid.
Key Benefits
Discrete RTX graphics: optional NVIDIA RTX A1000/A2000 for field AI and 3D. Ultra-bright display: 1,200-nit touchscreen, plus NVIS option. Field-ready: IP65, 4.4 kg, dual hot-swappable batteries. Secure: NIST-compliant BIOS option.
Applications
Field engineering and surveying, BIM modeling, laser scanning and imaging, GIS mapping, military/defense field computing and on-site AI-assisted analysis.
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