Specifications
EVS-3000
Fanless rugged NVIDIA GPU computer — Intel Core 200S and 12th-14th Gen, dual 2.5 GbE, up to four PCIe slots, front-access storage
ECX-3100-PEG
Rugged industrial AI computer — Intel 12th-14th Gen, PCIe GPU expansion, M.2 / Mini PCIe / SIM expandability
RCX-3000-PEG
Rugged NVIDIA GPU computer — -20 C to +60 C, 12th/13th/14th Gen Intel, 2x DDR5 up to 64 GB
IVX-1000
Rugged industrial GPU computer — wide-temp 12th-14th Gen Intel, MXM discrete GPU, multiple 2.5 GbE and PoE+
Additional Models
EVS-2000, ECX-1200/1400/2200/2400-PEG, RCX-1400/1500-PEG
GPU Support
NVIDIA GPU acceleration, single or multi-GPU via PCIe / MXM
Cooling
Fanless configurations with optional fan sink, or advanced active cooling
PCIe Expansion
Up to four PCIe expansion slots (EVS-3000)
Networking
Multiple 2.5 GbE and PoE+ ports (model dependent)
Storage
Front-access 2.5" SSD/HDD trays, M.2 NVMe
Memory
DDR5 up to 64 GB (RCX-3000-PEG)
Operating Temperature
-20 C to +60 C (model dependent)
Mounting
Wall mount, VESA mount, rackmount options
Shock / Vibration
Reinforced mechanical design with vibration isolation for mobile use
Design
Designed and manufactured in the United States; long-lifecycle industrial components
Applications
Edge AI inference, autonomous vehicles, military ISR, sensor fusion, machine vision
Overview
Rugged Science builds a full line of rugged NVIDIA GPU computers that move accelerated AI workloads out of the lab and into harsh, real-world deployments. The portfolio spans the fanless EVS-3000, the value-tier ECX-3100-PEG, the -20 to +60 C RCX-3000-PEG, and the MXM-based IVX-1000, all sharing the same philosophy: industrial-grade components, reinforced mechanics and thermal designs that keep GPUs from throttling under sustained load.
These systems are engineered for wide temperature swings, vibration and unstable power, with fanless or actively cooled GPU configurations, PCIe/MXM expansion and front-access storage. Designed and manufactured in the United States with long lifecycle support, they target defense, industrial and transportation programs where GPUs must run reliably for years in the field.
Key Benefits
Rugged by design — reinforced structures, vibration isolation and conduction or active cooling keep GPU performance stable in harsh conditions. Wide-temperature operation to -20 C / +60 C (model dependent). Flexible GPU scaling from single-GPU edge inference to multi-GPU sensor fusion via PCIe/MXM, and US-based engineering with long-lifecycle support.
Applications
Edge AI and deep-learning inference, autonomous vehicles and robotics, military ISR and situational awareness, machine vision and industrial inspection, smart infrastructure and transportation analytics, energy-sector predictive maintenance.
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