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Small circuit board with fan and 16GB eMMC storage

GSM Outdoors

GSM Outdoors Jetson Nano SUB Kit 16GB eMMC Fan Cooling

SKU CH-9FY5-Z1M3R

An IoT edge development board with 16 GB eMMC storage and fan cooling for AI machine learning workloads

  • Onboard 16 GB eMMC provides ready-to-run storage
  • Fan cooling keeps the module stable during AI workloads
  • JetPack SDK with CUDA accelerates deep-learning development
  • TF card slot adds removable media flexibility
  • Designed for commercial IoT edge deployment

Targeted Edge AI Development

The GSM Outdoors Jetson Nano SUB Kit is an IoT edge device built around the NVIDIA Jetson Nano system-on-module with 16GB of onboard eMMC storage. It is intended for developers, learners and makers who need a compact platform for commercial AI projects such as image classification, object detection, segmentation and speech processing.

Straightforward Software Setup

The kit runs the NVIDIA JetPack SDK which provides a board support package, Linux OS, CUDA, cuDNN and TensorRT libraries. A ready-to-flash SD card image makes initial deployment fast, while the integrated TF card slot offers an alternative boot or storage option. No special tools are required to assemble the included fan cooling assembly.

Sustained Thermal Performance

Active fan cooling keeps the module within operating limits during extended inference workloads, preventing the throttling that can occur with passive-only designs. The 16GB eMMC provides consistent local storage for models and datasets without relying on external media. Builders needing additional expansion interfaces or higher memory bandwidth should evaluate other platforms.

How it compares

Measured against everything we stock in Single-Board Computers & Dev Kits, at today’s prices. Recalculated every night.

Price $304.99
Pricier than about 90% of the 1,420 comparable items (median $44.99).

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Specifications

No published specifications for this item yet.

Questions about this item

How do I confirm the Jetson Nano SUB Kit is running AI workloads correctly after setup?

Boot the device, launch the JetPack SDK, and verify CUDA samples execute without errors to confirm the 16GB eMMC and GPU are functioning.

What comes in the box and what must I purchase separately for the Jetson Nano SUB Kit?

The kit includes the carrier board with onboard 16GB eMMC, TF card slot, and fan cooling; a power supply and microSD card are not included.

Should I choose the 16GB eMMC version or rely on the TF card slot for storage on the Jetson Nano SUB Kit?

The onboard 16GB eMMC provides dedicated OS and model storage, while the TF card slot adds removable capacity for datasets or backups.

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