Yahboom Jetson Orin NX 16GB Super Kit for AI edge systems
Embedded and edge AI kit with 16GB RAM, 157 TOP AI performance, and support for external NVMe. Enables multimodal AI workflows including speech-to-text, visual analysis, and real-time video processing
Highlights
- high-performance Jetson Orin NX module
- 16GB LPDDR5 memory, 128-bit bus
- multimodal AI with voice and vision support
Pros
- 16GB memory with high bandwidth
- AI-focused module with multiple models
- Supports external NVMe storage
- Ubuntu-based development environment
- Integrated AI voice and visual modules
Cons
- High price point
- Complex setup may require expertise
- Limited public reviews
Best For
Features
- Core ParametersAI Perf 117/157 TOPSGPU 1024-core N-VI-DIA Ampere architecture GPU with 32 Tensor CoresCPU 8-core Arm Cortex-A78AE v8. 2 64-bit CPU 2MB L2 + 4MB L3Memory 16GB 128-bit LPDDR5
- 102. 4GB/sStorage Supports external NVMe, Empowered by Large Al Model, Enhanced Human-Computer InteractionJetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. , Revolutionize the IndustryJetson Orin NX modules deliver unmatched performance and efficiency for small, low-power robotics and autonomous machines, making them ideal for drones, handheld devices, and more. The module can be easily used in advanced applications in manufacturing, logistics, retail, agriculture, medical and life sciences, and comes in a highly compact and energy-efficient package. , Revolutionizing AI with Unmatched PerformanceThe Jetson Orin NX system module adopts the Ampere architecture GPU, a new generation of deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth to support multiple AI application processes. Granular structured sparsity to improve the operating throughput of Tensor Core, and can use larger and more complex AI model development solutions in natural language understanding, 3D perception and multi-sensor fusion. , Tutorial materials providedThe JETSON system based on Ubuntu 22. 04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12. 6, TensorRT 10. 7. 0, cuDNN 9. 6. 0, OpenCV 4. 10. 0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.