This article provides a comparison between the Raspberry Pi 4B and the Jetson Nano board (used on Deep Learning, Machine Learning projects). If you are short on time and want to skip the text just head over to the video at the end of the article.
What is the Raspberry Pi 4B – The Raspberry Pi 4 Model B is the latest version of the Raspberry Pi. Just add a keyboard, mouse, display, power supply, micro SD card with installed Linux Distribution and you’ll have a fully fledged computer that can run applications from word processors and spreadsheets to games. The Raspberry Pi 4 Model B builds upon the features of its predecessors with a new, faster processor 1.5Ghz Quad Core Cortex-A72 Processor on board to increase its speed. It also features on-board WiFi and Bluetooth Low Energy capabilities to enhance the functionality and the ability to power more powerful devices over the USB ports.
The latest Raspberry Pi 4 Model B offers 1GB/2GB/4GB LPDDR4 SDRAM, Full-throughput Gigabit Ethernet, Dual-band 802.11ac wireless networking, Bluetooth 5.0, Two USB 3.0 and two USB 2.0 ports, Dual monitor support with resolutions upto 4K (WOW!!!), VideoCore VI graphics, supporting OpenGL ES 3.x and 4Kp60 hardware decode of HEVC video.
With the Raspberry Pi 4 the designers have moved from USB micro-B to USB-C for the power connector. This supports an extra 500mA of current, ensuring we have a full 1.2A for downstream USB devices, even under heavy CPU load. To accommodate dual display output within the existing board footprint, they’ve replaced the type-A (full-size) HDMI connector with a pair of type-D (micro) HDMI connectors. The Gigabit Ethernet magjack has moved to the top right of the board, from the bottom right, greatly simplifying PCB routing. The 4-pin Power-over-Ethernet (PoE) connector remains in the same location, so Raspberry Pi 4 remains compatible with the PoE HAT.
The Ethernet controller on the main SoC is connected to an external Broadcom PHY over a dedicated RGMII link, providing full throughput. USB is provided via an external VLI controller, connected over a single PCI Express Gen 2 lane, and providing a total of 4Gbps of bandwidth, shared between the four ports. All three connectors on the right-hand side of the board overhang the edge by an additional millimeter, with the aim of simplifying case design. In all other respects, the connector and mounting hole layout remains the same, ensuring compatibility with existing HATs and other accessories.
What is the Jetson Nano – (From the Nvidia website) “NVIDIA® Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts. It’s simpler than ever to get started! Just insert a microSD card with the system image, boot the developer kit, and begin using the latest NVIDIA JetPack SDK. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.
The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products. Plus, it’s compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers.”
Here’s the technical specifications for the Jetson Nano.
To learn more about the Jetson Nano v/s the Raspberry Pi 4 check out this awesome tutorial video from the folks at Explaining Computers.
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