Hybrid Cooled Mini NVIDIA Jetson Orin 64GB Edge AI Computer
• Hybrid Cooled Edge AI Computer • Model: HCM-JON-32-41
Built for robotics, computer vision and industrial inference at the edge, with GPU acceleration and Tensor Cores for demanding, multi-stream workloads.
FEATURES
A rugged, hybrid-cooled Jetson Orin platform.
The HCM-JON-64-41 is the highest-capacity hybrid-cooled edge AI computer in the Jetson Orin range. Featuring a more powerful NVIDIA Ampere GPU, additional Tensor Cores, and increased memory capacity, it delivers the performance headroom needed for demanding AI inference, deep learning, and graphics-intensive edge workloads. Built on the NVIDIA Jetson software stack, its ruggedized, precision-milled aluminium enclosure is engineered for reliable operation in harsh, extended-temperature environments.
AI acceleration - NVIDIA Jetson Orin™
Powered by the NVIDIA Jetson Orin module, it pairs Arm Cortex CPU cores with an NVIDIA Ampere GPU and Tensor Cores to deliver high-performance AI acceleration at the edge. It enables real-time object detection, classification, segmentation, and multi-stream analytics all processed locally for low latency and reduced network dependency.
Host processor
An Arm Cortex-A78AE CPU manages the operating system, application logic, and AI processing pipeline, while the NVIDIA Ampere GPU delivers high-performance AI acceleration.
AI software - NVIDIA JetPack™ SDK
Runs the NVIDIA JetPack SDK with CUDA for faster AI development.
Connectivity
Dual Gigabit Ethernet comes as standard, with M.2 expansion for 5G, 4G/LTE, or Wi-Fi to support connected, remotely managed edge deployments.
Hybrid cooling & rugged
Designed for harsh edge deployments, the hybrid cooling system maintains sustained AI performance, while the ruggedised, milled-aluminium enclosure ensures reliable operation under shock, vibration, and temperature extremes
Chassis & sustainability
Our in-house designed, precision-milled aluminium enclosure is built for demanding environments and extended-temperature operation. By using repurposed and recycled aluminium and recycling production waste, we reduce material waste without compromising performance.
IP41 rated
The sealed enclosure is rated to IP41, providing protection against solid objects larger than 1 mm and vertically falling water droplets for reliable operation in indoor and sheltered edge deployments.
IDEAL DEPLOYMENTS
Where the HCM-JON-32-41 is ideal.
Built for robotics, industrial automation, and video analytics on the NVIDIA Jetson Orin software platform.
Robotics & AMRs
Deploy intelligent perception, navigation, and obstacle detection for autonomous and assisted machines, powered by NVIDIA
Industrial automation
Enable real-time inspection, defect detection, and predictive maintenance across automated production lines
Multi-stream video analytics
Power real-time multi-stream analytics and object detection locally
Smart city & traffic
Run real-time traffic management, people and vehicle counting, and anomaly detection directly at the edge.
THE CURRENT GENERATION
HCM-JON-64-41 Jetson Orin Edge AI Computer
A summary of the platform's core capability. The full technical specification, I/O layout, and options are available on the datasheet.
Specifications | |
Processor | 8-core Arm Cortex-A78AE |
GPU | 2048-core NVIDIA Ampere GPU with 64 Tensor Cores |
AI Performance | Up to 275 TOPS |
AI software | NVIDIA JetPack™ SDK |
Memory | Up to 64 GB LPDDR5 |
Storage | 64 GB eMMC 5.1 (option: 4 TB M.2 NVMe) |
Networking | 1 × 1GbE + 1 × 10GbE (M.2 options: 5G/4G/LTE, Wi-Fi) |
Power | 9–36 V DC |
Operating temperature | −25 °C to 80 °C |
Dimensions / Weight | 242 × 132 × 55 mm · 2.235 kg |
For illustrative purpose
Rear I/O: DC-In 9-36V, 2 x RJ45for LAN, 1 x HDMI, 2 x USB 3.2, 2 x USB (OTG)
Custom Jetson AGX Chassis Integration for CMU & Team Chiron’s Disaster-Response Robotics
Engineered a custom chassis for the NVIDIA Jetson AGX, designed to integrate seamlessly with a suite of advanced sensors and embedded electronics onboard Boston Dynamics’ Spot robotic dog. This rugged, compact platform powers Team Chiron’s real-time disaster response solution, developed in collaboration with Carnegie Mellon University (CMU).
ENGINEERING & SUSTAINABILITY
Engineered in-house for performance and sustainability
The chassis is designed and precision-machined in-house, not sourced as an off-the-shelf enclosure. Its geometry is optimised for efficient passive cooling, structural strength and long-term reliability, with a design proven across extended operating temperatures.
The same engineering approach supports sustainability. The chassis is manufactured using repurposed and recycled aluminium wherever possible, while aluminium waste generated during production is recovered and recycled, reducing material waste without compromising performance.
- In-house designed and milled aluminium chassis
- Optimized for efficient passive cooling
- Proven reliability across extended operating temperatures
- Repurposed and recycled aluminium
- Production waste recycled
FREQUENTLY ASKED QUESTIONS.
The HCM-JON-32-41 is built on the NVIDIA Jetson Orin™ module an Arm Cortex CPU paired with an NVIDIA Ampere GPU and Tensor Cores for AI acceleration, deep learning and graphics inference at the edge.
No. The HCM-JON-32-41 uses a hybrid cooling design, which sustains GPU-intensive workloads across a wide operating-temperature range. For fanless platforms, see the Axelera Metis units in the range.
Yes. Inference runs locally on the module, keeping data on-site and removing dependence on a continuous cloud connection.
Controlled options operating-system deployment, software preload and branding are available and do not alter the certified platform baseline. Requirements that need mechanical, thermal, electronic or certification change route to Tranquil Studio.
Tell us what you need your AI to do.
Share your use case, deployment environment and operational constraints, and we'll recommend the edge AI compute platform that's right for your application whether powered by Axelera Metis or NVIDIA Jetson. From standard platform selection to controlled configuration, every deployment is governed from day one.