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Rock Pi 4 vs NVIDIA Jetson Nano

Side-by-side comparison of features, pricing, ratings, and alternatives.

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Rock Pi 4
Rock Pi 4Powerful SBC with RK3399 for AI and edge computing
NVIDIA Jetson Nano
NVIDIA Jetson NanoA small, powerful AI computer for makers, learners, and embedded developers.
Overview
Description

The Rock Pi 4 is a compact single-board computer featuring a hexa‑core Rockchip RK3399 processor, up to 4 GB LPDDR4 RAM, and dual‑channel M.2 NVMe support. It offers a rich I/O set including dual HDMI 4K, USB‑C 3.0, Gigabit Ethernet, and Wi‑Fi/Bluetooth for versatile connectivity. Designed for developers, makers, and edge‑AI projects, the board runs Linux, Android, and various open‑source OSes, providing a flexible platform for everything from media servers to AI inference workloads.

The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads in a small, power-efficient form factor. It brings the power of modern artificial intelligence to edge devices, empowering developers to build autonomous machines and smart devices. Equipped with a 128-core Maxwell GPU and a quad-core ARM CPU, it supports high-resolution sensors and processes multiple neural networks concurrently. Backed by the comprehensive Jetson software stack, it streamlines the development and deployment of advanced robotics and IoT applications.

Pricing
Paid (One-time)
Paid (One-time)
Category
ARM Single-Board Computers
ARM Single-Board Computers
Best for
Developers and AI hobbyists
Hobbyists, students, and embedded AI developers
Specifications
General
msrp
$99
$99
Specifications
weight
55 g
140g+155%
warranty
1 year
1 year
dimensions
85 x 56 x 14 mm
100 mm x 80 mm x 29 mm+18%
open source
Yes
No
connectivity
Wi‑Fi 5 (802.11ac), Bluetooth 5.0, Gigabit Ethernet, USB‑C 3.0, USB‑A 3.0, HDMI 2.0
Gigabit Ethernet, M.2 Key E (for wireless), USB 3.0, USB 2.0
power source
USB Powered
AC Powered
Pros & Cons
Pros
  • High‑performance RK3399 CPU
  • M.2 NVMe slot for fast storage
  • Dual 4K HDMI outputs
  • Strong community and open‑source support
  • Affordable entry point for edge AI development
  • Comprehensive software stack via JetPack SDK
  • Compact form factor with versatile I/O interfaces
  • Active developer community with extensive tutorials
Cons
  • Wi‑Fi limited to 802.11ac (no Wi‑Fi 6)
  • Limited official Android builds
  • Power consumption higher than low‑end SBCs
  • Limited onboard memory compared to higher-end Jetson models
  • Discontinued official production affecting long-term availability
  • Power supply requirements can be strict under heavy loads
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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