As a NVIDIA Partner for the embedded compute competency, Premio Inc leverages cutting-edge technology for AI Inference at the edge. This collaboration empowers Premio to push the boundaries of innovation and productization for its portfolio of ruggedized computing hardware in a new age of AI and edge computing.
Enhanced AI Capabilities: Access to NVIDIA’s cutting-edge Jetson platform and GPU technology, enabling rapid development of AI applications.
Industry-Leading Solutions: Ruggedized Edge AI Computers (JCO Series), EDGEBoost Technology for AI performance acceleration and Rich I/O expansions, and Scalable NVIDIA Jetson Modules
Comprehensive Support: Leveraging NVIDIA’s extensive resources and expertise to ensure customer success and satisfaction.
Faster Time to Market: Capabilities in ODM customization, engineering and turnkey manufacturing for rapid deployment in the USA.
Dive deep into Premio’s first NVIDIA Jetson AI Edge Computer Series in this comprehensive overview, learn more about the key differentiators and applications of the JCO Series.
High Performance
Mid Performance
Entry Performance
Rugged Fanless
Maximized Expandability
Wide Temperature
Shock And Vibration Resistance
World Class Certifications
 JCO-6000-ORN |
 JCO-3000-ORN |
 JCO-1000-ORN |
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|---|---|---|---|---|
| System | AI Accelerator | Jetson AGX Orin 64 GB/32GB | Jetson Orin NX 8G/16G or Nano Super 8G/4G | Jetson Orin NX Super 8G/16G or Nano Super 8G/4G |
| CPU | 8-core/12-core Arm® Cortex®-A78AE v8.2 64-bit CPU | 8-core/6-core Arm® Cortex A78AE v8.2 64-bit CPU | 8-core/6-core Arm® Cortex A78AE v8.2 64-bit CPU | |
| GPU | • Jetson AGX Orin 64GB: 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores • Jetson AGX Orin 32GB: 1792-core NVIDIA Ampere architecture GPU with 56 Tensor Cores |
• Jetson NX 16GB/8GB: 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores • Jetson Orin Nano 8GB/4GB: 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores |
• Jetson NX 16GB/8GB: 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores • Jetson Orin Nano 8GB/4GB: 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores |
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| Memory & Storage | System Memory | 32GB/64GB LPDDR5 | 16GB/8GB LPDDR5 8GB/4GB LPDDR5 |
8GB/4GB LPDDR5 |
| NVMe | 1x M.2 (M Key, 2242/2260/2280, PCIe x4, Support NVMe | 1x M.2 (M Key, 2242/2260/2280, PCIe x4, Support NVMe | 1x M.2 (M Key, 2242/2260/2280, PCIe x4, Support NVMe | |
| eMMC | 1x eMMC (64 GB) | (-) | (-) | |
| SIM Sockets | 2x Micro SIM Socket (Attached to M.2 B Key ) | 1x External Micro SIM socket (Attached to M.2 B Key) | 1x External Dual Nano SIM socket (Attached to M.2 B Key) |
|
| I/O | Ethernet | Onboard: 2 x RJ45 (1 Gbe, 1x10 GbE) with EBIO: Up to 5 x 10 GbE (RJ45) OR Up to 9 x 1 GbE (RJ45 or M12) |
Onboard: 2 x RJ45 OR 4 x RJ45 |
Onboard: 1x RJ45 |
| PoE | EBIO: can support 4 x RJ45 with optional PoE JCO-6000-ORN-A: up to 4 PoE JCO-6000-ORN-B: up to 12 PoE |
JCO-3000-ORN-B: Up to 4 PoE |
(-) | |
| USB 2.0 | 1 | (-) | 2 | |
| USB 3.0 | On-board: 1x USB 3.2 Gen 2 (10 Gbps, USB 3 Vision Locking Compliant) With EBIO: can support 8 x USB 3 (5 Gbps, 8 dedicate port) |
4 x USB 3.0 (5Gbps) | 2x USB 3.2 Gen 2 (10 Gbps) | |
| Serial | 2x RS-232/422/485 |
2x RS-232/485 (Internal, switch by Jumper) | 2x RS-232/422/485 | |
| CAN | Up to 2 x CAN FD (isolated) | CAN 2.0 A | CAN 2.0 A |
|
| Power Ignition Sensing | Adjustable Power Ignition Management | (-) | (-) | |
| Digital I/O | 8 in / 8 out (Isolated) | 4 in / 4 out (Isolated) | 4 in / 4 out (Isolated) | |
| Video Out | 1 x HDMI 4k (3840 x 2160) 60Hz | 1x HDMI 2K (2560*1440) 60Hz | 1x HDMI 4k (3840 x 2160) 60Hz | |
| GMSL Camera | 2x Quad Port Mini Fakra (8 GMSL) | (-) | (-) | |
| Out-of-Band Managment | Optional 1x RJ45 | Optional 1x RJ45 | Optional 1x RJ45 | |
| EDGEBoost I/O Expansion | up to 4 EBIO • 4-port GbE module with Intel® I350 Chipset, RJ-45/M12 connector (PoE optional) • 2-Port RJ45 10GbE with Intel X710 Chipset • 4-Port USB 3.0 • 4-Port USB 3.0 (Locking Ports) • 1x M.2 M-Key |
(-) | (-) | |
| Connectivity | Cellular 4G LTE / 5G | 1x M.2 (B Key, 3042/3052, USB 3.2 Gen2, Support 4G/5G Module) |
1x M.2 (B Key, 3042/3052, USB 3.2 Gen1, Support 4G/5G) | 1x M.2 (B Key, 2242/3042/3052, PCIe x1, USB 3.2 Gen1, Support 4G/5G Module) |
| Wi-Fi/BT | 1x M.2 (E Key, 2230, PCIe x1, USB 2.0, Support Wi-Fi/BT) | 1x M.2 (E Key, 2230, PCIe x1, USB 2.0, Support Wi-Fi/Bluetooth) | 1x M.2 (E Key, 2230, PCIe x1, USB 2.0, Support Wi-Fi/Bluetooth) | |
| Antenna | 6x WiFi Antenna Holes | 6x WiFi Antenna Holes | 6x WiFi Antenna Holes | |
| Environmental | Operating Temperature | • -20°C to 55°C (AGX 64G, MaxN Mode at 68 Watt, Non-Throttling) • -20°C to 50°C (AGX 64G, MaxN Mode at 68 Watt, Non-Throttling, With PoE/10G/4U3V Module, full CPU+GPU stressing) |
• -20°C to 55°C (25W, NX Module) • -20°C to 60°C (15W, Nano Module) |
• -20°C to 55°C (15W, 25W) • -20°C to 35°C (40W) |
| Shock & Vibration | Vibration: With SSD: 5 Grms, 5 - 500 Hz, 0.5 hr/axis Shock: With SSD: 50G, half sine, 11ms |
Vibration: With SSD: 5 Grms, 5 - 500 Hz, 0.5 hr/axis Shock: With SSD: 50G, half sine, 11ms |
Vibration: With SSD: 5 Grms, 5 - 500 Hz, 0.5 hr/axis Shock: With SSD: 50G, half sine, 11ms |
|
| Safety | CE, FCC, UL-Listed | CE, FCC, UL-Listed | CE, FCC, UL-Listed | |
| System Cooling | Fanless Cooling | Fanless Cooling | Fanless Cooling | |
| Size | Mechanical Dimensions | 270 (W) x 190 (D) x 95 (H) mm | 192 (W) x 140 (D) x 58 (H) mm | 150 (W) x 105 (D) x 65 (H) mm |
Webinar On-Demand
In this webinar, you’ll gain the insights you need to evaluate Premio’s JCO Series, the flagship line of rugged NVIDIA Jetson AI Edge Computers.
By leveraging NVIDIA Jetson, Premio offers cutting-edge solutions for AGV and AMR robotics, ensuring unparalleled performance in the most demanding environments.
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.
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.
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.
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.
