Description The NVIDIA Jetson Nano Module 16GB eMMC is a compact edge AI module for embedded AI products, smart cameras, intelligent gateways, AI IoT devices, robotics, entry-level NVR systems, and computer vision applications. Waveshare-17865 is the Jetson Nano module version with onboard 16GB eMMC storage, NVIDIA Maxwell GPU architecture, 128 CUDA cores, 4GB LPDDR4 memory, and the compact Jetson Nano SoM form factor. The Jetson Nano Module 16GB eMMC delivers up to 0.5 TFLOPS FP16 AI performance while keeping system power in the 5W to 10W range. For teams building an edge AI module, the NVIDIA Jetson Nano Module provides a practical mix of GPU acceleration, quad-core Arm Cortex-A57 processing, camera support, video encode/decode, Gigabit Ethernet support through a carrier board, and NVIDIA JetPack SDK software workflows. Because the NVIDIA Jetson Nano Module 16GB eMMC is a production-oriented system-on-module rather than a full developer kit, it is suitable for compact embedded products that use a compatible carrier board. The Jetson Nano Module 16GB eMMC is a strong edge AI module choice when a project needs stable onboard storage, small size, low power consumption, and NVIDIA JetPack SDK compatibility. Features NVIDIA Jetson Nano Module: compact production-ready SoM for embedded AI and edge AI products. 16GB eMMC storage: onboard eMMC 5.1 storage for compact and stable deployment designs. 0.5 TFLOPS FP16 AI performance: supports entry-level neural network inference, computer vision, and AI IoT workloads. NVIDIA Maxwell GPU: 128 NVIDIA CUDA cores accelerate AI inference, image processing, and multimedia tasks. Quad-core Arm CPU: Arm Cortex-A57 MPCore processor complex for embedded application logic. 4GB LPDDR4 memory: 64-bit LPDDR4 memory for edge AI module workloads and sensor data processing. Compact Jetson Nano form factor: small module footprint for carrier-board integration. NVIDIA JetPack SDK support: enables Jetson Linux, CUDA, deep learning libraries, computer vision, multimedia APIs, and NVIDIA developer tools. Specifications SKU Waveshare-17865 Product NVIDIA Jetson Nano Module 16GB eMMC Module Jetson Nano Module B01 class AI Performance 0.5 TFLOPS FP16, up to 472 GFLOPS GPU NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores CPU Quad-core Arm Cortex-A57 MPCore processor Memory 4GB 64-bit LPDDR4 Storage 16GB eMMC 5.1 flash Power 5W to 10W operating profile, depending on carrier board and workload Video Encode 4K30 H.264/H.265, 4x 1080p30 H.264/H.265 Video Decode 4K60 H.264/H.265, 2x 4K30 H.264/H.265, 8x 1080p30 H.264/H.265 Camera MIPI CSI-2 support through compatible carrier board Display HDMI or DisplayPort support through compatible carrier board Networking Gigabit Ethernet support through compatible carrier board Software NVIDIA JetPack SDK, Jetson Linux, CUDA, AI libraries, and accelerated multimedia Mechanical Approximately 70mm x 45mm module class Applications Embedded AI products using the NVIDIA Jetson Nano Module 16GB eMMC. Smart cameras, AI vision inspection, and intelligent video analytics. Entry-level robotics, autonomous devices, and AI IoT gateways. Compact NVR systems, smart city devices, and industrial monitoring systems. AI model deployment with NVIDIA JetPack SDK, Jetson Linux, CUDA, and multimedia APIs. Carrier-board integration projects that need a compact edge AI module with onboard eMMC storage. Product List 1 Jetson Nano Module 16GB eMMC Other Content Module note: The NVIDIA Jetson Nano Module 16GB eMMC is a module, not a complete developer kit. A compatible carrier board, power supply, cooling solution, software image, and peripherals may be required for development or deployment. Storage note: The onboard 16GB eMMC helps compact edge AI module designs avoid removable-storage-only deployment. Verify the installed image, boot method, and available storage before production use. Compatibility note: Confirm carrier board pinout, camera lanes, display output, thermal design, power budget, and NVIDIA JetPack SDK version before integrating the Jetson Nano Module 16GB eMMC. Selection note: Choose the NVIDIA Jetson Nano Module 16GB eMMC when an edge AI module needs 4GB LPDDR4 memory, 16GB onboard eMMC, low power consumption, CUDA acceleration, and NVIDIA JetPack SDK support. Jetson Nano note: Jetson Nano is a good fit for entry-level embedded vision products, and this Jetson Nano module version is easier to integrate when onboard eMMC storage is preferred. Resources NVIDIA Jetson Nano Overview NVIDIA JetPack SDK NVIDIA Jetson Download Center NVIDIA Jetson Ecosystem FAQ What is Waveshare-17865? Waveshare-17865 is the NVIDIA Jetson Nano Module 16GB eMMC, a compact edge AI module for embedded AI products and carrier-board integration. Is this a complete developer kit? No. The NVIDIA Jetson Nano Module 16GB eMMC is a module. A compatible carrier board and supporting hardware are required. What is the benefit of the 16GB eMMC version? The 16GB eMMC storage gives the Jetson Nano Module 16GB eMMC a compact onboard storage option for embedded deployment and software image storage. Does it support NVIDIA JetPack SDK? Yes. The NVIDIA Jetson Nano Module supports NVIDIA JetPack SDK workflows including Jetson Linux, CUDA, computer vision, deep learning libraries, and multimedia APIs. What projects is this edge AI module best for? The Jetson Nano Module 16GB eMMC is best for smart cameras, AI IoT gateways, compact NVR systems, robotics, industrial monitoring, and entry-level embedded vision products.
