Die Konferenz für das Zeitalter der KI und des Metaversums Erfahren Sie die neusten Fortschritte von der NVIDIA GTC (NVIDIA GPU Technology Conference). Auf der Konferenz wurden die neuesten Fortschritte in der GPU-Technologie und ihre Anwendungen in einer Reihe von Branchen vorgestellt, künstliche Intelligenz, Datenwissenschaft, autonome Fahrzeuge und mehr, Sie können sich die Keynote Sessions auch jetzt noch ansehen. Informieren Sie sich jetzt: Developer Conference | Keynote | DLI Workshop NVIDIA JETSON NANO 4GB DEVELOPER KIT
- Artikel-Nr.: NVIDIA JETSON NANO 4GB DEVELOPER KIT - 945-13450-0000-100
The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts.
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. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
Features:
- * NVIDIA JETSON NANO 4GB DEVELOPER KIT (B01) - 945-13450-0000-100
* 128-core NVIDIA Maxwell GPU
* Quad-core ARM A57 CPU
* Storage - Micro SD (Not included)
* 4 GB 64-bit LPDDR4
* Video Encode - 4Kp30| 4x 1080p30| 9x 720p30 (HEVC)
* Video Decode - 4Kp60| 2x 4Kp30| 8x 1080p30| 18x 720p30| (HEVC)
* 10/100/1000BASE-T Ethernet
Jetson Nano Module
| > 128-core NVIDIA Maxwell GPU | > HDMI/DisplayPort |
| > Quad-core ARM A57 CPU | > M.2 Key E |
| > 4 GB 64-bit LPDDR4 | > Gigabit Ethernet |
| > 10/100/1000BASE-T Ethernet | > GPIOs, I2C, I2S, SPI, UART |
| > Fan connector | > MIPI-CSI camera connector |
| > PoE connector |
| CPU: | Quad-core ARM A57 @ 1.43 GHz |
| Speicher: | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Datenspeicher: | microSD (not included) |
| GPU: | 128-core Maxwell |
| Konnektivität: | Gigabit Ethernet, M.2 Key E |
| Display: | HDMI 2.0 and eDP 1.4 |
| Encoder/Decoder: | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (HEVC), 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30| (HEVC) |
| Abmessung: | 0 mm x 80 mm x 29 mm |
| Sonstiges: | GPIO, I2C, I2S, SPI, UART |
| CPU: | Quad-core ARM A57 @ 1.43 GHz |
| Speicher: | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Datenspeicher: | microSD (not included) |
| GPU: | 128-core Maxwell |
| Konnektivität: | Gigabit Ethernet, M.2 Key E |
| Display: | HDMI 2.0 and eDP 1.4 |
| Encoder/Decoder: | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (HEVC), 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30| (HEVC) |
| Abmessung: | 0 mm x 80 mm x 29 mm |
| Sonstiges: | GPIO, I2C, I2S, SPI, UART |
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