Ruggedized Edge AI and Embedded Computing
Powered By NVIDIA Jetson™ Modules
Premio’s NVIDIA Jetson edge AI portfolio spans from entry-level systems to edge AI supercomputing platforms, including ultra-rugged and waterproof solutions built for harsh industrial and outdoor environments.
- Enhanced AI Capabilities
- Industry-Leading Solutions
- Comprehensive Support
- Faster-Time to Market
Rugged Fanless
Maximized Expandability
Wide Temperature
Shock And Vibration Resistance
World Class Certifications
Premio’s NVIDIA Jetson Edge AI Computers Built for Physical AI
NVIDIA Jetson System-on-Modules
Compact, energy-efficient AI computing platforms powered by NVIDIA GPU architecture that accelerate edge AI, machine learning, computer vision, robotics, and deep learning applications.
Two Rugged Series for Diverse AI Workloads
JCO Series and WCO Series: Specification Comparison
| Product Model | IP Rating | Processor | AI Performance | Storage Options | M.2 Expansion | SIM Socket | Wireless Connectivity | Ethernet | PoE | GMSL | Out-of-band Management | Operating Temp. | Power Input | Certifications | Dimensions |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| JCO Series | |||||||||||||||
|
JCO-6000-ORN |
- |
Jetson AGX Orin (32GB/64GB) |
275 TOPS |
|
|
2x Micro SIM | 4G/5G, Wi-Fi, Bluetooth |
2x RJ45 (1x GbE, 1x 10GbE) |
Yes (through EDGEBoost I/O) | 8x GMSL2 | Yes | -20°C to 55°C |
9~48VDC 48V~110VDC (optional) |
UL, CE, FCC, EN50155 EMC, E-Mark | 270 (W) x 190 (D) x 95 (H) mm |
|
JCO-3000-ORN |
- | Jetson Orin NX (8GB/16GB) and Jetson Orin Nano (4G/8G) | 100 TOPS |
|
|
1x External Dual Nano SIM | 4G/5G, Wi-Fi, Bluetooth |
4x RJ45 (4x GbE) |
Yes (optional) | No | Yes |
|
9~36VDC | UL, CE, FCC, E-Mark | 192 (W) x 140 (D) x 58 (H) mm |
|
JCO-1000-ORN |
- | Jetson Orin NX (8GB/16GB) and Jetson Orin Nano (4G/8G) | 157 TOPS |
|
|
1x External Dual Nano SIM | - |
|
No |
JCO-1000-ORN-B/C: 4x GMSL2 |
Yes |
|
9~36VDC |
UL, CE, FCC EN50155 EMC, E-Mark (B/C) |
150 (W) x 105 (D) x 65 (H) mm |
| WCO Series | |||||||||||||||
|
WCO-6000-THR |
IP66 | Jetson AGX Thor T4000/T5000 (64GB/128GB) | 2,070 TFLOPS |
|
|
1x Dual SIM | 4G/5G, Wi-Fi, Bluetooth |
6x M12 (2x 2.5 GbE, 4x 10GbE) |
Yes (optional) | 8x GMSL2 | No |
|
12~48VDC | UL, CE, FCC, EN50155 EMC, E-Mark | TBD |
|
WCO-3000-ORN |
IP66 | Jetson Orin NX (8GB/16GB) and Jetson Orin Nano (4G/8G) | 157 TOPS |
|
|
1x External Dual Nano SIM | 4G/5G, Wi-Fi, Bluetooth |
4x M12 (1x GbE, 3x 2.5GbE) |
Yes (optional) | 4x GMSL2 | No |
|
9~48VDC | UL, CE, FCC, EN50155 EMC, E-Mark | 250 (W) x 170 (D) x 75 (H) mm |
JCO Series Webinar
Deep Dive into Premio's Jetson AI Edge Computers
Gain the insights you need to evaluate Premio’s JCO Series, the flagship line of rugged NVIDIA Jetson AI Edge Computers.
Jetpack 6.2 SDK Support
JCO Series now fully supports NVIDIA Jetpack 6.2 SDK, introducing critical upgrades such as the groundbreaking "Super" performance mode, delivering cutting-edge performance for mission-critical applications.
- JetPack 6.2 includes the latest Linux OS - Jetson Linux 36.4.3, Linux Kernel 5.15 and an Ubuntu 22.04-based root file system.
- Super-mode configurations for Jetson Orin NX and Jetson Orin Nano allow tailored compute throughput and energy efficiency on JCO-3000-ORN and JCO-1000-ORN Series.
- Enhanced Libraries, APIs & Developer Tools such as NVIDIA CUDA Toolkit 12.6, NVIDIA TensorRT 10.3, NVIDIA cuDNN 9.3, NVIDIA VPI 3.2 for advanced computer vision, optimized deep learning inference, and better sensor integration.
Why Premio? Built Rugged. Built Ready.
- 30+ years of extensive design expertise for industrial-grade compute, storage, rich I/O, and high-speed connectivity
- Global turnkey manufacturing and support infrastructure in the USA
- Regulatory testing and compliance for rugged industrial computers
- Long Product Life Cycles to ensure reliability
Key Markets
FAQ
The NVIDIA Jetson platform is a scalable system-on-module (SoM) architecture designed for AI and machine learning at the edge, integrating CPU, GPU, and memory for high-performance AI computing.
- Jetson AGX Orin: Up to 275 TOPS AI performance.
- Jetson Orin NX: Up to 157 TOPS AI performance.
- Jetson Orin Nano: Up to 67 TOPS AI performance.
Super Mode, also known as MAXN, is a performance profile available on NVIDIA® Jetson Orin™ modules that unlocks the maximum computing power of the GPU and NPUs. By temporarily raising the power budget, the system can reach peak performance — up to 157 TOPS on the Orin NX and 67 TOPS on the Orin Nano. This is especially important for demanding edge AI tasks like real-time video analytics, sensor fusion, and robotics, where millisecond-level inference can mean safer operations, higher accuracy, and faster decision-making.
EDGEBoost I/O Technology enhances data throughput by optimizing I/O configurations in a modular plug and play solution for flexible I/O connectivity to a variety of IoT sensors and peripherals
ARM architecture, with its RISC-based design, simplifies hardware, optimizes processing speed, and reduces power consumption, making it well-suited for edge AI applications.
- Jetson AGX Orin: 15W to 60W.
- Jetson Orin NX: 10W to 25W.
- Jetson Orin Nano: 7W to 15W.
AI applications include autonomous robotics, machine vision, intelligent video analytics, and advanced IoT sensor integration for real-time edge decision-making.
JCO Series NVIDIA Jetson AI Edge Fanless Computers are built to operate in extreme temperatures and resist shock and vibration, ensuring reliable performance in industrial environments.
The NVIDIA Jetpack SDK provides software libraries, tools, and frameworks to facilitate AI and deep learning development on Jetson-powered edge computing systems.
JCO Series edge AI computers are certified for UL, FCC, and CE compliance, ensuring adherence to regulatory standards in various global markets. JCO-6000-ORN is tested and validated for E-Mark and EMC Conformity with EN50155 & EN50121-3-2 as well.
JCO Series NVIDIA Jetson AI Edge Fanless Computers provide real-time AI processing for advanced perception, navigation, and decision-making, enabling AGVs and AMRs to operate autonomously with precision in dynamic environments.