
NVIDIA Jetson Orin Nano 4GB Module
- AI Performance:
- Up to 20 TOPS
- Memory:
- 4GB LPDDR5
- 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 Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5) Review
NVIDIA Jetson Orin Nano 4GB production compute module, the smallest and most affordable member of the Orin family for lightweight embedded AI products.
The 4GB Orin Nano module trims memory and GPU core count to hit an entry price point, aimed at simple vision and IoT products that don't need the full 8GB module's headroom.
Specifications
Identity
| Brand | NVIDIA |
|---|
Processor
| CPU Cores | 4 cores |
|---|
| CPU Architecture | ARM |
|---|---|
| Memory | 4 GB |
| Storage Type | eMMC |
| Has AI Accelerator / NPU | Yes |
| GPIO Header | No |
| Use Case | Ultra-Compact / Budget |
| SoC | NVIDIA Jetson Orin Nano |
| Memory Options | 4GB LPDDR5, 64-bit |
| NPU Performance (TOPS) | Up to 20 TOPS INT8 (GPU-based) |
| GPU | 512-core NVIDIA Ampere GPU with 16 Tensor Cores |
| OS Support | NVIDIA JetPack (Ubuntu-based Linux for Tegra) |
| Board Size | 69.6mm x 45mm (SO-DIMM module) |
| Board Revision | Production Module (4GB) |
Expert Review
Reviewed by Burooj Alam. Rated by us, not by users.
Best for
- Low-cost embedded AI sensors
- Lightweight vision products
Not for
- Multi-model AI pipelines
- Plug-and-play use without a carrier board
FAQs
What are the key specifications of the NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)?
The NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5) is a single board computer from NVIDIA. Key specs: SoC NVIDIA Jetson Orin Nano, CPU Architecture ARM, CPU Cores 4, Memory 4, Memory Options 4GB LPDDR5, 64-bit.
Will the NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5) work with my current setup?
The NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5) lists SoC is NVIDIA Jetson Orin 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 Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5) best suited to?
It suits low-cost embedded ai sensors, lightweight vision products.
What are the drawbacks of the NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)?
It is a poor fit for multi-model ai pipelines, plug-and-play use without a carrier board.
Compare and read more
- ASUS NUC 13 Pro Board (Single-Board Computer/Intel Core i7-1360P (Raptor Lake)/Up to 64GB DDR5/Embedded NUC Motherboard) vs NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)
- ASUS Tinker Board 2 (Single-Board Computer/Rockchip RK3399/Hexa-Core Cortex-A72+A53/Up to 4GB LPDDR4/Industrial-Grade Pi-Style Board) vs NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)
- ASUS Tinker Board 3N (Single-Board Computer/Rockchip RK3568 Quad-Core Cortex-A55/LPDDR4X/Dual LAN/PoE PD/M.2 Expansion) vs NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)
- ASUS Tinker Board S (Single-Board Computer/Rockchip RK3288/Quad-Core Cortex-A17/2GB LPDDR3/Onboard eMMC Storage) vs NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)
- Banana Pi BPI-M2 Zero (Single-Board Computer/Allwinner H2+/Quad-Core Cortex-A7 1.2GHz/512MB DDR3/Raspberry Pi Zero Form-Factor Clone) vs NVIDIA Jetson Orin Nano 4GB Module (Compute Module/4-Core Cortex-A78AE/512-Core Ampere GPU/Up to 20 TOPS/4GB LPDDR5)
