NVIDIA Jetson Nano 4GB Production Module
- CPU:
- Quad-Core Cortex-A57
- GPU:
- 128-core Maxwell
- Memory:
- 4GB LPDDR4
- Form Factor:
- 260-pin SO-DIMM module
Consumercarts is reader-supported. Learn more
Disclaimer: The price and specification of the given product may differ from the actual product. Please confirm on the retailer's website before buying.
Manufacturer: NVIDIA Last updated: 2026-09-15
Where to buy
- NVIDIAGo to store
NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM) Review
NVIDIA Jetson Nano 4GB production compute module with 16GB onboard eMMC, for embedding the original Jetson Nano AI platform into mass-produced products.
This is the bare SO-DIMM module version of the Jetson Nano used inside third-party carrier boards and commercial products, separate from the plug-and-play developer kit.
Specifications
Identity
| Brand | NVIDIA |
|---|
Processor
| CPU Cores | 57 cores |
|---|
| CPU Architecture | ARM |
|---|---|
| Memory | 4 GB |
| Storage Type | eMMC |
| Has AI Accelerator / NPU | No |
| GPIO Header | No |
| Use Case | Ultra-Compact / Budget |
| SoC | NVIDIA Tegra X1 (Jetson Nano) |
| Memory Options | 4GB LPDDR4, 64-bit |
| GPU | 128-core NVIDIA Maxwell GPU |
| OS Support | NVIDIA JetPack (Ubuntu-based Linux for Tegra) |
| Board Size | 69.6mm x 45mm (SO-DIMM module) |
| Board Revision | Production Module with 16GB eMMC (B01) |
Expert Review
Reviewed by Burooj Alam. Rated by us, not by users.
Best for
- Embedded product design on the original Nano platform
- Mass-produced budget AI devices
Not for
- Plug-and-play use without a carrier board
- New designs needing NPU acceleration
FAQs
What are the key specifications of the NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)?
The NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM) is a single board computer from NVIDIA. Key specs: SoC NVIDIA Tegra X1 (Jetson Nano), CPU Architecture ARM, CPU Cores 57, Memory 4, Memory Options 4GB LPDDR4, 64-bit.
Will the NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM) work with my current setup?
The NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM) lists SoC is NVIDIA Tegra X1 (Jetson Nano). Check that against the hardware you already own before buying, since this is the field that most often decides whether a part fits.
Who is the NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM) best suited to?
It suits embedded product design on the original nano platform, mass-produced budget ai devices.
What are the drawbacks of the NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)?
It is a poor fit for plug-and-play use without a carrier board, new designs needing npu acceleration.
Compare and read more
- Banana Pi BPI-R4 (Single-Board Computer/MediaTek Filogic 880/Quad-Core Cortex-A73/WiFi 7/10GbE Router Board) vs NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)
- Banana Pi BPI-SM10 (K3-CoM260 Compute Module/SpacemiT K3 RISC-V/8-Core X100 2.4GHz/60 TOPS NPU Claim/Up to 32GB LPDDR5) vs NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)
- BeagleBone AI-64 (Single-Board Computer/Texas Instruments TDA4VM/Dual-Core Cortex-A72 2.0GHz/4GB RAM/Robotics and Vision AI Pick) vs NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)
- BeagleBone Black (Single-Board Computer/TI Sitara AM3358/Single-Core Cortex-A8 1GHz/PRU Real-Time Coprocessors) vs NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)
- ClockworkPi uConsole (Handheld Computer/Raspberry Pi CM4 or RK3566 Core/Clamshell Keyboard and Screen/Modular SBC Terminal) vs NVIDIA Jetson Nano 4GB Production Module (Compute Module/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/260-Pin SO-DIMM)