Nevertheless, as gamers (and I say this as a gamer myself), we're always seeing what we can play video games on, from running DOOM on pregnancy tests to installing Crysis on a GPU's VRAM. Nutze ComputerBase ohne Werbebanner, Video-Ads und Werbetracking schon für 3,90 €/Monat oder 35 €/Jahr. The NVIDIA Jetson™ platform is backed by a passionate developer community that actively contributes videos, how-tos, and open-source projects. Already familiar with single-board computers?
It's incredibly polished and easy to use, both as a standard desktop operating system as well as for maker-oriented applications. Thankfully, NVIDIA's top-notch documentation simplifies the process even further. There's a solid first steps document that walks you through preparing for set up, writing an image to a microSD card, and initial boot.
Details im Privacy Center und in der Liste unserer Partner. I downloaded several different CUDA demos such as the oceanFFT CUDA FFT ocean simulation. At www.electromaker.io we use cookies to personalise your experience and help us identify and resolve errors. 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. With a familiar Linux environment, easy-to-follow tutorials, and ready-to-build open-source projects created by an active community, it’s the perfect tool for learning by doing.
If you’d prefer to restrict, block or delete cookies from www.electromaker.io, or any other website, you can use your browser to do this. Computer performance on these demos is impressive, and showcases what you can do insofar as on-premise modeling. Let's be clear, the NVIDIA Jetson Nano isn't made for gaming.
This simulates an oceanographic height field with the CUFFT library rendering the results in OpenGL. The JetPack SDK runs flawlessly out-of-the-box. Where the Jetson Nano really shines is its phenomenal support. Its price tag makes the Jetson Nano 2GB a no-brainer. It includes a familiar Linux environment and offers every Jetson developer the same NVIDIA CUDA-X™ software and tools used by professionals around the world.
With a familiar Linux environment, easy-to-follow tutorials, and ready-to-build open-source projects created by an active community, it’s the perfect tool for learning by doing.
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Many popular AI frameworks like TensorFlow, PyTorch, Caffe, and MXNet are supported , and Jetson Nano is capable of running multiple neural networks in parallel to process data and drive action. It’s the ideal solution for prototyping your next AI-based product and bringing it to market fast. NVIDIA has released a cheaper version of the Jetson Nano Developer Kit, its developer board with a 128-core GPU. 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. As such, many will wonder about the Jetson Nano's gaming chops. Here are the, NVIDIA websites use cookies to deliver and improve the website experience. ComputerBase berichtet unabhängig und verkauft deshalb keine Inhalte, sondern Werbebanner. 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.
With its beefy GPU, you don't need an external USB device, and you can instead simply get up and running by installing software straight to your device. It’s programmable through Jupyter Notebooks and includes trainable DNNs for obstacle detection, object following, path planning, and navigation. If you've used any Linux distribution (distro), and in particular a Ubuntu derivative, it should look quite familiar. Nvidia legt das für die Entwicklung in den Bereichen KI und Robotik ausgelegte Developer Kit des Jetson Nano in einer auf 2 GB RAM reduzierten Variante auf und drückt den Preis damit von bisher 99 US-Dollar auf nur noch 59 US-Dollar vor Steuern. You can read his writings on film and pop culture at CupOfMoe.com and check out his thoughts on movies on the Celluloid Fiends podcast. Besuche ComputerBase wie gewohnt mit Werbung und Tracking. All in an easy-to-use platform that runs in as little as 5 watts.
However, the official Jetson Nano SDK which comes as a Ubuntu Linux-based distribution (distro) runs flawlessly out-of-the-box.
It's pretty impressive that the Jetson Nano can handle on-device AI and machine learning. As such, many will wonder about the Jetson Nano's gaming chops. Many of its products focus on applications such as artificial intelligence (AI). Tracking: Wir und unsere Partner verarbeiten personenbezogene Daten, indem wir mit auf Ihrem Gerät gespeicherten Informationen (z. Nevertheless, in under 30 minutes I was able to get a USB webcam connected to my NVIDIA Jetson Nano 2GB Dev Kit and access it via a remote PC.
It's well-priced, solidly-specced out, and comes with a surprisingly low learning curve. Learn AI hands-on with a Jetson developer kit and our free on-line training for developers, students, and educators.. Used by enthusiasts and professionals alike, it’s ideal for personal projects as well as for developing applications targeting the Jetson Nano production module.
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.
Please enable Javascript in order to access all the functionality of this web site. Additionally, I tested a bit of in-browser Plex streaming using the Jetson Nano as a Plex client. Der Tegra X1 des größeren Jetson Nano läuft mit vier ARM Cortex-A57 bei 1,43 GHz und einer Maxwell-GPU mit 128 Kernen.
For video output, the Nano 2GB rocks an HDMI port and can encode 4K @ 30 frames per second (FPS) as well as decode 4K @ 60 FPS. Although the Jetson Nano's bread and butter is definitely AI and robotics oriented, it's no slouch when it comes to media playback.
Das „Jetson Nano 2GB Development Kit“ ist der neueste Zugang des bis zum Jetson AGX Xavier mit Volta-GPU reichenden Sortiments.
Ersten Bildern des Kits zufolge wurden die vier USB 3.0 durch drei USB-Anschlüsse unbekannten Standards ersetzt, außerdem findet die Stromversorgung über USB Typ C statt einen Hohlstecker statt. Once that completed, I flashed the image to a microSD card using Etcher. By The downfall of many a promising maker board is lack of support, official or third-party. While not intended as media playback and gaming device, the Jetson Nano 2GB handles decently on both fronts.
Nvidia optimiert mit KI Videokonferenzen in der Cloud, Intels 10-nm-Server-CPUs verspäten sich erneut, Continental setzt auf Nvidia DGX Pod für die Simulation, Mercedes analysiert mit KI-Kameras das Kundenverhalten, Chinesisches Mainboard mit GeForce GTX 1650 onboard, Der nForce 4 SLI machte Intel den Sockel streitig, AI-Computer mit Xavier-SoC kommt in Kreditkartengröße. Check out our detailed and easy-to-follow Getting Started Guide for the Jetson Nano 2GB Developer Kit.
However, newcomers might be a bit lost. See our.
Er ist Teil und zugleich Beobachter der mobilen Revolution.
Ein Widerruf ist möglich in der Datenschutzerklärung. But what can it actually do?
You can then mess around and zoom in as well as out and pan around. To hit the $59 price point, there are a few other differences between the 4GB and 2GB variants of the Jetson Nano. * Please check availability and shipping timelines with your local distributor/reseller.
The NVIDIA Jetson Nano 2GB Developer Kit is ideal for teaching, learning, and developing AI and robotics. Die neue Einsteiger-Lösung ist ebenfalls mit einem Tegra X1 bestückt, der aber nur noch auf 2 GB statt 4 GB LPDDR4 zugreifen kann. B. Anzeigen zu personalisieren.
Here’s a list of the main cookies we use, and what we use them for: Each web browser handles cookie management differently, please follow instructions for your chosen browser: Keep an eye on your inbox for a monthly roundup which includes all of the top content on Electromaker.io. 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.
When he's not hammering away at his keyboard, he enjoys running, reading, watching cinema, and listening to vinyl. 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. Ultimately, buying the NVIDIA Jetson Nano 2GB is a no-brainer. And that's where the Jetson Nano blows the competition out of the water. And you'll still get better performance out of a device like the NVIDIA Shield TV, my streaming device of choice. The new model has 2 GB of RAM and retails for just US$54. While I have loads of experience with maker boards, Arduinos, and 3D printing, I admittedly have little hands-on knowledge of artificial intelligence.
Das „Jetson Nano 2GB Development Kit“ ist der neueste Zugang des bis zum Jetson AGX Xavier mit Volta-GPU reichenden Sortiments. Learn all about the NVIDIA Jetson Nano 2GB, from what it is and what it can do to who it's for! Moe Long The NVIDIA ® Jetson Nano ™ 2GB Developer Kit is ideal for learning, building, and teaching AI and robotics—built for creators and priced for everyone. Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. Die Redaktion sucht freie Mitarbeiter/innen. In fact, the only issue is lack of development for Jetson Nano emulators. / Review A 40-pin GPIO connector as well as compatibility with the official Raspberry Pi High-Quality Camera makes the Jetson Nano a well-specced maker board.
Seasoned artificial intelligence enthusiasts or robotics experts will likely have loads of ideas.
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