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Jetson Nano 4gb

Die 10 besten Produkte von Oktober 2025
Letzte Aktualisierung: 10. Oktober 2025
Waveshare
Waveshare
Waveshare Jetson Nano 4GB Development/Expansion Kit Alternative Solution of B01 Kit Come with Carrier Board Jetson Nano Module Official Heatsink and More Extra Free Accessories
Kostenloser Versand
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98

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AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER

  • Die Trägerplatine zusammen mit Jetson Nano-Modul, offizieller Kühlkörper und mehr zusätzlichem Zubehör
  • Basierend auf KI-Computern Jetson Nano und Jetson Xavier NX, bietet fast die gleichen IOs, Größe und Dicke wie das Jetson Nano Developer Kit (B01), bequemer für die Aufrüstung des Kernmoduls.
  • Durch die Nutzung der Kraft des Kerns Modul, es ist qualifiziert ied für Felder wie Bildklassifizierung, Objekterkennung, Segmentierung, Sprachverarbeitung usw. und kann in verschiedenen KI-Projekten verwendet werden.
  • Kompatibel mit Jetson Nano und Jetson Xavier NX
  • 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264) /H.265. )
  • 232,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom Jetson Nano 4GB SUB Robot Kits Jetbot Mini Car AI Programmable Python Robot Kit ROS Starter for University (Ver Jetbot Mini Without Nano)
Kostenloser Versand
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97

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AUF AMAZON ANSEHEN
Amazon.de
#2

  • 【AI-Roboter für Jetson Nano 4GB】Jetbot mini verwendet Python3 als Programmiersprache, integriertes ROS-Roboter-Betriebssystem und OpenCV als Bildverarbeitungsbibliothek Es ist ein Einsteiger-ROS entwickelter Roboter basierend auf 4GB. 4GB hat eine leistungsstärkere GPU als Raspberry Pi, kostengünstiger als Jetson Nano 4 GB. Es ist die beste Wahl für KI & ROS, um mit dem Erkunden zu beginnen.
  • 【Mini aber leistungsstark】 Das intelligente Roboterauto hat nur die Größe einer Handfläche, kann aber Gestenerkennung, Gesichtserkennung, Objekt- und Farberkennung, Farbfolge, automatisches Fahren, optische Verschönerung des ROS-Bildes, AR-Verbesserung und Etikettenerkennung abschließen. Intelligenter Open-Source-Roboter für Forscher, die KI künstliche Intelligenz und ROS erkunden wollen. Aufgrund des Motherboards sind alle Jetbot Mini Programme getrennte Routinen.
  • 【Hochzentriert】 Die App von Jetbot Mini kann den Roboter per Joystick und Schwerkraft steuern, Steuerung und Bildschirm sind in die App integriert, um den FPV-Betrachtungswinkel jederzeit und überall zu realisieren; 2 GB und Erweiterungsplatine sind über 40-polige Stiftleiste verbunden, kein Dupont-Kabel erforderlich, und es ist stabiler und ordentlicher.
  • 【Zubehör】 Ausgestattet mit TF-Karte, die Spiegelbild verbrannt, Benutzer führen nur das entsprechende Programm aus, um die entsprechende Funktion zu erreichen; 12,6 V Power Akku Pack mit Überstromschutz, stabilere Stromversorgung und länger, keine Notwendigkeit, das Motherboard beim Batteriewechsel zu entfernen; USB 3.0 Wireless Netzwerkkarte, reibungslose Steuerung. Yahboom stellt hochwertige Roboter her. Hinweis: Jetson Nano nicht im Lieferumfang enthalten, Sie müssen sich selbst vorbereiten
  • 【Hochwertiger After-Sales-Service】Jetbot Mini Code ist alle Open Source. Yahboom bietet umfassende Onlinekurse und Installationsvideos. Die technische Hilfe hilft Ihnen auch, Schwierigkeiten zu lösen. Bitte zögern Sie nicht, uns zu kontaktieren. Dies ist eine kostengünstige Wahl für die Programmierung der Jetson Nano-Serie.
  • 59,00 € AUF AMAZON
NVIDIA
NVIDIA
NVIDIA Jetson Nano Entwickler-Kit (945-13450-0000-100)
Kostenloser Versand
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95

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AUF AMAZON ANSEHEN
Amazon.de
#3

  • Das Jetson Nano Entwickler-Kit von NVIDIA liefert die Rechenleistung, um moderne KI-Workloads bei beispielloser Größe, Leistung und Kosten auszuführen. Entwickler, Lernende und Hersteller können KI-Frameworks und -Modelle für Anwendungen wie Bildklassifizierung, Objekterkennung, Segmentierung und Sprachverarbeitung ausführen.
  • Das Entwickler-Kit kann über Micro-USB mit Strom versorgt werden und verfügt über umfangreiche I/Os, von GPIO bis CSI. Dies macht es für Entwickler einfach, ein vielfältiges Set neuer Sensoren anzuschließen, um eine Vielzahl von KI-Anwendungen zu ermöglichen. Und es ist unglaublich energieeffizient und verbraucht nur 5 Watt.
  • Jetson Nano wird auch von NVIDIA JetPack unterstützt, das ein Board Support-Paket (BSP), Linux OS, NVIDIA CUDA, cuDNN und TensorRT Software-Bibliotheken für Deep Learning, Computer Vision, GPU-Computing, Multimedia-Verarbeitung und vieles mehr enthält. Die Software ist sogar über ein einfach zu flaschendes SD-Kartenbild verfügbar, wodurch der Einstieg schnell und einfach ist.
  • Das gleiche JetPack SDK wird für die gesamte NVIDIA Jetson-Produktfamilie verwendet und ist vollständig kompatibel mit NVIDIAs weltweit führender KI-Plattform für das Training und die Bereitstellung von KI-Software. Dieser bewährte Software-Stack reduziert die Komplexität und den Gesamtaufwand für Entwickler.
  • 299,00 € AUF AMAZON
Waveshare
Waveshare
Waveshare Jetson Nano 4GB Development/Expansion Kit E Alternative Solution of B01 Kit with Carrier Board Jetson Nano Module Stereo Camera Cooling Fan Case Kit and so on (10 Items) for AI Projects
Kostenloser Versand
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92

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AUF AMAZON ANSEHEN
Amazon.de
#4

  • It is a good idea to add an aluminum alloy case on the basis of binocular vision package, and all accessories into the mini box. The camera bracket rotating at 180 degrees is one of its major features. The whole case is firm, dustproof and beautiful, and it also has good performance in heat dissipation capability.
  • Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module.
  • By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects.
  • Compatible With Expansion Modules And Cases Of The Jetson Nano Developer Kit (B01). The Carrier Board Is Compatible With Jetson Nano And Jetson Xavier NX Convenient For Hardware Upgrading. Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording...
  • Supports DisplayPort And HDMI High Definition Ports. USB3.0 High Speed Data Transmission, Allows More USB Peripherals. Color-Coded Header Pins With Clear Labels, Handy For Use.
  • 280,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare Jetson Orin Nano Super Carrier Board Jetson Orin NX Super Carrier Board AI Development Board for Jetson Orin Nano/Jetson Orin NX Core Module, Matches Official Jetson Orin Nano Developer Kit
Kostenloser Versand
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83

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AUF AMAZON ANSEHEN
Amazon.de
#5

  • Based on Jetson Orin Nano and Jetson Orin NX module, provides almost the same peripheral interfaces, size and thickness as the Jetson Orin Nano Developer Kit (Official Orin Nano kit), which is suitable for users to develop their applications and apply into various AI projects
  • Expanding two 4-lane CSI interfaces for accessing cameras, suitable for AI intelligent application scenarios such as facial recognition, road marking recognition, and license plate recognition(Note: Additional adapter cable is required to connect to camera)
  • With 4-way Tyep-A and 1-way Type-C, it can access more diverse peripherals. The USB 3.2 Gen 2 Type-A interface can support up to 10Gbps data transmission, and the Tyep-C interface can be used for system burning
  • With DP display interface for 4K display. The 40PIN GPIO interface adopts color differentiation and expands resources such as I2C, SPI, I2S, UART, GPIO, etc. Equipped with a DC power interface, supporting wide voltage and connecting 9V~19V voltage, the interface size is compatible with 5.5 x 2.4 Plug
  • Expanding two M.2 Key M interfaces for accessing solid-state drives and one M.2 KeyE interface for accessing wireless network cards reduces device wiring limitations and enables flexible storage and wireless expansion
  • 125,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom Jetson Nano 4GB RAM, Power Adapter 16GB eMMC Storage Provides Programming Ubuntu Data (Jetson Nano Sub Separate)
Kostenloser Versand
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81

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AUF AMAZON ANSEHEN
Amazon.de
#6

  • 【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC
  • 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface.
  • 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices.
  • 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses.
  • 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.
  • 212,00 € AUF AMAZON
Yahboom
Yahboom
Yahboom Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom Provide ROS Programming Courses
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79

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AUF AMAZON ANSEHEN
Amazon.de
#7

  • The NVIDIA Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.
  • The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts.
  • Jetson Nano is also supported by NVIDIA JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy.
  • The same JetPack SDK is used across the entire NVIDIA Jetson product line and is fully compatible with N-VI-DIA's world-leading AI platform for training and deploying AI software. This proven software stack reduces developer complexity and overall effort.
  • 219,61 € AUF AMAZON
Yahboom
Yahboom
Yahboom Jetson Nano 4GB Carrier Board Based On Jetson Nano 4GB SUB/B01 Core Module, Electronic Project Development
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76

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AUF AMAZON ANSEHEN
Amazon.de
#8

  • Yahboom has launched a self-developed carrier board based on Jetson Nano/Xavier NX, which can be used with Jetson Nano/XavierNX core modules and is suitable for electronic mechanical engineers to develop electronic projects.
  • It supports reverse power input protection, leads out common interfaces, optimizes the microUSB interface to a Type-C interface, and the mounting holes are compatible with the official kit carrier board.
  • With the powerful functions of the core module, it is suitable for image classification, target detection, image segmentation, speech processing and other fields, and can be used in various artificial intelligence projects.
  • Equipped with M.2 Key E interface, 40PIN GPIO interface, Micro USB interface, 4 USB 3.0 interfaces, HDMI output interface, DisplayPort interface and 2 MIPI CSI camera interfaces.
  • Equipped with a PoE interface (PoE module not included), a Micro USB interface (for 5V power input or USB data transmission), a Gigabit Ethernet interface (10/100/1000Base-T auto-negotiation, supports PoE after connecting an external PoE module), and a 5V power input DC interface.
  • 61,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom Jetson Orin Nano SUPER 4GB Development Kit 34Tops,256G SSD Ubuntu 22.04 System Artificial Intelligence Robot Kit (Orin Nano 4GB Basic Kit)
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70

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AUF AMAZON ANSEHEN
Amazon.de
#9

  • 【Orin Nano SUB Performance】Equipped with 6-core Arm Cortex! A78AE v8.2 64-bit CPU 1.5MBL2 + 4MB L3 GPU, computing power increased to 34-67Tops, can run all modern artificial intelligence models. (4GB/8GB optional)
  • 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; (Note: SUB motherboard does not have SD card slot)
  • 【Official carrier board performance】This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 25W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes.
  • 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
  • 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 22.04 system and AI vision, ROS development materials.
  • 359,00 € AUF AMAZON
Yahboom
Yahboom
Yahboom Jetson Nano 4GB Development Board + Acrylic Case (mit Fan) + Power Adapter + HDMI Kabel + LAN Cable + 64GB USB Flash Drive 16GB eMMC Storage Provides Programming Ubuntu Data (Expansion Kit)
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67

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AUF AMAZON ANSEHEN
Amazon.de
#10

  • 【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC
  • 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface.
  • 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices.
  • 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses.
  • 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.
  • 262,00 € AUF AMAZON
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