Helium
Accelerated by NVIDIA Jetson 
Accelerated by NVIDIA Jetson
Configurable interfaces cut down development costs and speed up time to market for NVIDIA® Jetson™ projects exceedingly. EdgeKit offers an enhanced development kit that is not only equipped for prototyping but also ready for deployment.
- Camera Interfaces: Start your development with the high performance camera sensor that fits your needs
- NVIDIA JetPack™ Pre-Flashed: The latest NVIDIA JetPack™ SDK is pre-installed, saving you time and effort
- Plug & Play Experience: Enjoy immediate usability with our selected camera partners and the embedded EdgeControl SDK
By using EdgeKit, you streamline your development process, reduce setup time, and accelerate your time to market, all while minimizing costs.
Helium: Perfect for challenging applications
With Helium, you get a reliable embedded system that is ideal for AI-supported applications - whether in the automotive industry, industrial automation or aerospace. Thanks to its flexible interfaces and robust design, it is the perfect choice for powerful edge computing in any environment.
- Small housing: With its dimensions of 85 mm x 90 mm x 27 mm, it is one of the smallest GMSL embedded solutions with NVIDIA Jetson.
- Waterproof: The IP class 67 makes the Helium dust and water resistant.
- Cooling solution: Most use cases require individual cooling solutions, the Helium integrates perfectly into your product.
Accelerated by NVIDIA Jetson
NVIDIA Jetson is the leading AI-at-the-edge computing platform with over half a million developers. With pre-trained AI models, developer SDKs and support for cloud-native technologies across the full Jetson lineup, manufacturers of intelligent machines and AI developers can build and deploy high-quality, software-defined features on embedded and edge devices targeting robotics, AIoT, smart cities, healthcare, industrial applications, and more. Cloud-native support helps manufacturers and developers implement frequent improvements, improve accuracy, and use the latest features with Jetson-based edge AI devices.
| Jetson Orin Nano | Jetson Orin NX | |
|---|---|---|
| KI Performance | 67 TOPS | 117/157 TOPS |
| GPU | 1024-core NVIDIA Ampere GPU with 32 Tensor Cores | 1024-core NVIDIA Ampere GPU with 32 Tensor Cores |
| CPU | 6-core ARM® Cortex® A78AE v8.2 64-bit CPU | 6-core / 8-core Arm® Cortex® A78AE v8.2 64-bit CPU 1,5 MB / 2MB L2 + 4 MB L3 |
| RAM | 8 GB 128-bit LPDDR5 | 8 GB 128-bit LPDDR5 / 16 GB 128-bit LPDDR5 |
| Storage | NVMe (128GB/ 256GB) | |
| Power consumption | 7W - 25W | 10W - 40W |
Technical details
| Supported NVIDIA SOMs | Jetson Orin Nano or NX |
| Operating system | NVIDIA JetPack™ SDK 6.2: Ubuntu 22. 04 (Linux Kernel 5.15) |
| Power supply | 12V - 48V DC |
| Power consumption | max. 80 W |
| Cooling | Passive cooling: can be adapted by yourself or by PCB Arts Active cooling: with DIN-Rail option or Wall-Mount |
| Standard Interfaces | 4x GMSL2 (MAX96724), 1x USB-C USB 3. 2 (10Gbit/s, Screw terminal), 2x Gigabit Ethernet ports (M12) |
| Integrated features | 4x Opto Isolated IO's, IMU: ICM-42670-P, Crypto-Chip: ATSHA204A, external RTC |
| Optional Interfaces | 256 GB internal SSD, WiFi, 4G, 5G |
| Debug Header | via USB-C with PCB Arts Adapter |
| Display Output | via USB- C with PCB Arts Adapter |
| Casing | Anodised aluminium |
| Dimensions | 85 mm x 90 mm x 27 mm Height +18 mm (with active cooling solution) |
| Weight | 350gr. |
| Environmental temperature | -40 °C ... +85 °C (integrated heating) |
| IP class | IP 67 |
| Certification | CE, EMV, RoHS |
