The new model has 2 GB of RAM and retails for just US$54. Whereas the 4GB Jetson Nano clocks in around $100 USD, the 2GB version hits an affordable $59 price point. Lust auf IT und Spaß am Schreiben? By It's affordable, easy to use, and doesn't exhibit much noticeable performance loss over its predecessor. Then, I was able to tinker with image classification. While not intended as media playback and gaming device, the Jetson Nano 2GB handles decently on both fronts. Then you’re going to love how easy it is to set up and run any modern AI algorithm with amazing speed on the Jetson Nano 2GB Developer Kit. Our cookies don’t store sensitive information such as your name, address or payment details: they simply hold information about how you use our site so we can improve your experience and resolve any errors. Mit CUDA-X steht zudem einen Zusammenstellung von GPU-beschleunigten Bibliotheken für Künstliche Intelligenz und High Performance Computing zur Verfügung. Learn AI hands-on with a Jetson developer kit and our free on-line training for developers, students, and educators..

But what can it actually do?, GPU: 128-core NVIDIA Maxwell™ architecture-based GPU, Video: 4K @ 30 fps (H.264/H.265) / 4K @ 60 fps (H.264/H.265) encode and decode, Camera: MIPI CSI-2 DPHY lanes, 12x (Module) and 1x (Developer Kit), Memory: 2GB 64-bit LPDDR4; 25.6 gigabytes/second, USB: 3x USB (2x 2.0, 1x 3.0), USB 2.0 Micro-B, Camera: 1x MIPI CSI-2 DPHY lanes (Raspberry Pi camera compatible), Easy to use - runs Linux well out-of-the-box, well-documented.
It includes everything you need to know to get up and running. / 14th October 2020. Although the main difference in the 4GB and 2GB Jetson Nano models is the RAM decrease, a few other key features distinguish the pair of SBCs. The NVIDIA Jetson Nano has long been one of the best single-board computers (SBCs) for AI and robotics at home. As such, even on its more home-based products like streaming devices and gaming GPUs, you'll find technological advancements from NVIDIA's extensive work in artificial intelligence, machine learning, and other areas. Check out our detailed and easy-to-follow Getting Started Guide for the Jetson Nano 2GB Developer Kit. Details im Privacy Center und in der Liste unserer Partner. As such, many will wonder about the Jetson Nano's gaming chops. Jetson Nano Developer Kit offers useful tools like the Jetson GPIO Python library, and is compatible with common sensors and peripherals, including many from Adafruit and Raspberry Pi. Nutze ComputerBase ohne Werbebanner, Video-Ads und Werbetracking schon für 3,90 €/Monat oder 35 €/Jahr. Where the Jetson Nano really shines is its phenomenal support. Each browser is different, so check the ‘Help’ menu of your particular browser (or your mobile phone’s handset manual) to learn how to change your cookie preferences. Das „Jetson Nano 2GB Development Kit“ ist der neueste Zugang des bis zum Jetson AGX Xavier mit Volta-GPU reichenden Sortiments. All in an easy-to-use platform that runs in as little as 5 watts. It delivers incredible AI performance at a low price and makes the world of AI and robotics accessible to everyone with the exact same software and tools used to create breakthrough AI products across all industries. Its price tag makes the Jetson Nano 2GB a no-brainer. If you're a beginner with artificial intelligence and robotics, the 2GB Jetson Nano is your best choice. * USB wireless adapter not initially available in all regions ** Local pricing will vary due to currency and taxes, This site requires Javascript in order to view all its content. That's down from four USB ports on the NVIDIA Jetson Nano 4GB unit.

B. Anzeigen zu personalisieren. Auch mit dem kleinsten Ableger der Jetson-Familie haben Entwickler vollen Zugriff auf das JetPack SDK, um ihre KI-basierten Anwendungen für die Plattform zu entwickeln. Sure, there are some pretty capable AI SBCs available, but the vast amount of first- and third-party resources for the Nano makes it a fantastic choice for beginners or advanced DIYers. A slew of sample projects as offers a starting point for prototyping. Learn more. NVIDIA DeepStream for Intelligent Video Analytics, 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265), 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265), 1x USB 3.0 Type A, 2x USB 2.0 Type A, 1x USB 2.0 Micro-B, 40-pin header (GPIO, I2C, I2S, SPI, UART). The NVIDIA Jetson Nano 2GB dev kit is a seriously awesome little single-board computer. Blockiert ein Browser-Add-on Third-Party-Scripte? B. eindeutige Kennungen in Cookies) ein Nutzungsprofil erstellen, um z. All in an easy-to-use platform that runs in as little as 5 watts. While I have loads of experience with maker boards, Arduinos, and 3D printing, I admittedly have little hands-on knowledge of artificial intelligence. 4K video played perfectly on my Hisense H8F. 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. There's no better way to start. Learn all about the NVIDIA Jetson Nano 2GB, from what it is and what it can do to who it's for! Used by enthusiasts and professionals alike, it’s ideal for personal projects as well as for developing applications targeting the Jetson Nano production module. The 2GB of RAM might prove limiting for extreme multitasking, but I was pleased with its capabilities. Dieser Dialog konnte nicht vollständig geladen werden, eine Zustimmung gilt daher nur vorläufig. If you’d prefer to restrict, block or delete cookies from, or any other website, you can use your browser to do this. Er ist Teil und zugleich Beobachter der mobilen Revolution. Jetson ist zum einen Nvidias Entwicklungsplattform für KI und Robotik, mit der Studenten, aber auch Unternehmen erste Gehversuche in diesen Bereichen machen können. You can actually run the Dolphin emulator on the Jetson Nano 2GB for playing GameCube and Wii games. You can then mess around and zoom in as well as out and pan around. Please enable Javascript in order to access all the functionality of this web site. Zum anderen bietet Nvidia die verschiedenen Lösungen nicht nur als Developer Kit, sondern auch als Modul für den kommerziellen Einsatz am Rand der Cloud an.

Das „Jetson Nano 2GB Development Kit“ ist der neueste Zugang des bis zum Jetson AGX Xavier mit Volta-GPU reichenden Sortiments. * Please check availability and shipping timelines with your local distributor/reseller. The use of cookies and similar technologies have for some time been commonplace and cookies in particular are important in the provision of many online services. Plus, NVIDIA offers free tutorials starting with an introductory "Hello AI World" and continuing to robotics projects like the open-source NVIDIA JetBot AI robot platform. However, this OS is packed with different tools and utilities specifically intended to enable AI and robotics applications.

NVIDIA has released a cheaper version of the Jetson Nano Developer Kit, its developer board with a 128-core GPU.

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Connectivity is excellent. The development process is simplified with support for cloud-native technologies, and developers can go even further with GPU-accelerated libraries and SDKs like NVIDIA DeepStream for Intelligent Video Analytics. As its name suggests, the 2GB model shaves off a bit of RAM but keeps the exact same 128-core NVIDIA Maxwell-based GPU and quad-core ARM A57 CPU. Cookies are tiny data files stored in your web browser when you visit a website. Jetson developer kits are for software development and system prototyping. Once boot up, you'll find yourself in a version of Ubuntu Linux for the Nvidia Jetson Nano. The 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. There aren't a ton of compatible operating systems (OSes) for the NVIDIA Jetson Nano.
Learn more about Jetson for AI education. Thankfully, NVIDIA offers wonderful documentation and getting started guides. Ok, great. It loses a few USB 3.0 ports, nixes a DisplayPort connector, drops an M.2 port, and still doesn't include Wi-Fi or Bluetooth onboard.