
NVIDIA Jetson Nano
Expert rating6.5 / 10
- Processor:
- Quad-Core ARM Cortex-A57
- GPU:
- NVIDIA Maxwell
- Memory:
- 4GB LPDDR4 (64-bit
- Software:
- CUDA
- Price:
- Historically $99 (module)
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Manufacturer: NVIDIA Last updated: September 10, 2026
NVIDIA Jetson Nano (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point) Review
The original NVIDIA Jetson Nano is an older entry point into CUDA-accelerated AI development, pairing a quad-core ARM Cortex-A57 CPU with a 128-core NVIDIA Maxwell GPU and 4GB of LPDDR4 memory (64-bit, 1600MHz, 25.6GB/s), running the same CUDA, cuDNN and TensorRT toolchain used across NVIDIA's current Jetson lineup, historically priced at $99 for the module.
It sits below our Jetson Orin Nano Super in both price and capability, its quad-core Cortex-A57 CPU and 128-core Maxwell GPU are genuinely dated by 2026 standards, but the module's low cost and shared CUDA/TensorRT software stack keep it relevant for buyers learning edge AI development on a budget rather than deploying production workloads.
Aging Hardware, Same Software Ecosystem
The real reason this board still gets searched years after launch is that it runs the identical CUDA, cuDNN, and TensorRT toolchain used on NVIDIA's current Jetson boards, code and tutorials written for the Nano largely transfer to the Orin Nano Super with minimal changes, making it a genuinely reasonable low-cost way to learn the ecosystem before investing in current-generation hardware.
Know Before You Buy: Availability and Pricing Have Shifted
NVIDIA has raised prices across its Jetson module lineup industry-wide this year, and the original Nano's retail availability has become less consistent as NVIDIA's attention shifts to the Orin family. Buyers should verify current stock and pricing carefully rather than assuming the historical $99 module price still holds.
Comparison to Alternatives
Against our NVIDIA Jetson Orin Nano Super, the Orin Nano Super delivers dramatically higher AI performance and remains NVIDIA's actively promoted current-generation board, worth the price premium for anyone doing real model development rather than pure learning. Against our BeagleBone AI-64, the two target different AI approaches entirely, the Jetson Nano's CUDA/TensorRT ecosystem suits deep learning model deployment, the BeagleBone's TDA4VM suits real-time industrial sensor fusion.
Specifications
Identity
| Brand | NVIDIA |
|---|
| Memory | 4GB LPDDR4 (64-bit, 1600MHz, 25.6GB/s) |
|---|---|
| Price | 99 USD |
| Model | Jetson Nano |
| Processor | Quad-Core ARM Cortex-A57 |
| GPU | NVIDIA Maxwell, 128 CUDA cores |
| Software | CUDA, cuDNN, TensorRT (shared with current Jetson lineup) |
Expert Review
Reviewed by Burooj Alam. Rated by us, not by users.
Expert rating6.5 / 10
A dated but cheap way to learn NVIDIA's CUDA/TensorRT stack before stepping up to current-generation Jetson hardware.
Best for
- Learning CUDA-based edge AI development on a budget before investing in current-generation Jetson hardware.
Not for
- Production AI deployment or any performance-sensitive workload, the Jetson Orin Nano Super is the current-generation board for that.
FAQs
What are the key specifications of the NVIDIA Jetson Nano (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point)?
The NVIDIA Jetson Nano (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point) is a single board computer from NVIDIA. Key specs: Processor Quad-Core ARM Cortex-A57, GPU NVIDIA Maxwell, 128 CUDA cores, Memory 4GB LPDDR4 (64-bit, 1600MHz, 25.6GB/s), Software CUDA, cuDNN, TensorRT (shared with current Jetson lineup), Price Historically $99 (module); verify current pricing and availability.
Will the NVIDIA Jetson Nano (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point) work with my current setup?
The NVIDIA Jetson Nano (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point) lists Processor is Quad-Core ARM Cortex-A57. 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 (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point) best suited to?
It suits learning cuda-based edge ai development on a budget before investing in current-generation jetson hardware..
What are the drawbacks of the NVIDIA Jetson Nano (Single-Board Computer/Quad-Core Cortex-A57/128-Core Maxwell GPU/4GB RAM/Legacy Budget AI Entry Point)?
It is a poor fit for production ai deployment or any performance-sensitive workload, the jetson orin nano super is the current-generation board for that..
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