NVIDIA JETSON NANO MODULE
- Artikel-Nr.: NVIDIA JETSON NANO MODULE - 900-13448-0020-000
Bringing AI to millions of new systems at the edge
The NVIDIA Jetson Nano module is opening amazing new possibilities for edge computing. It delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to
process data from multiple high-resolution sensors—a requirement for full AI systems. It’s also production-ready and supports all popular AI frameworks. This makes Jetson Nano the ideal platform for developing mass market AI products such as AIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems.
The system-on-module is powered by the NVIDIA MaxwellTM GPU with 4 GB of memory, which allows real-time processing of high-resolution inputs. It offers a unique combination of performance, power advantage, and a rich set of IOs, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Plus, it supports multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5 W.
Jetson Nano is supported by NVIDIA JetPackTM, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRTTM software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.
The comprehensive software stack makes AI deployment on autonomous machines fast, reduces complexity, and speeds time to market.The same JetPack SDK is used across the entire NVIDIA JetsonTM family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.
Features:
- Jetson Nano module
- 128-core NVIDIA Maxwell GPU
- Quad-core ARM A57 CPU
- 4 GB 64-bit LPDDR4
- 16 GB eMMC 5.1
- 10/100/1000BASE-T Ethernet
- Voltage Input: 5 V
- Module Power: 5 W~10 W
- Operating Temperature: -25 C to 80 C*
- Storage Temperature: -25 C to 80 C
- Humidity: 85% RH, 85ºC [non-operational]
- Vibration: Sinusoidal 5 G RMS 10 to 500 Hz, random 2.88 G RMS, 5 to 500 Hz [non-operational]
- Shock: 140 G, half sine 2 ms duration [non-operational]
| CPU: | Quad-core ARM A57 @ 1.43 GHz |
| Speicher: | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Datenspeicher: | 16 GB eMMC 5.1 |
| GPU: | 128-core Maxwell |
| PCIe: | 1x1/2/4 PCIe Gen2 |
| Konnektivität: | Gigabit Ethernet |
| USB: | 1x USB 3.0, 3x USB 2.0 |
| Display: | HDMI 2.0, eDP 1.4, DP 1.2 (two simultaneously) |
| Encoder/Decoder: | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265), 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) |
| CSI: | 12 (3x4 or 4x2) lanes MIPI CSI-2 D-PHY 1.1 |
| Power: | 5 W~10 W |
| Abmessung: | 69.6 mm x 45 mm 260-pin SODIMM Connector |
| Sonstiges: | I2C, I2S, SPI, UART, SD/SDIO, GPIO |
| CPU: | Quad-core ARM A57 @ 1.43 GHz |
| Speicher: | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Datenspeicher: | 16 GB eMMC 5.1 |
| GPU: | 128-core Maxwell |
| PCIe: | 1x1/2/4 PCIe Gen2 |
| Konnektivität: | Gigabit Ethernet |
| USB: | 1x USB 3.0, 3x USB 2.0 |
| Display: | HDMI 2.0, eDP 1.4, DP 1.2 (two simultaneously) |
| Encoder/Decoder: | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265), 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) |
| CSI: | 12 (3x4 or 4x2) lanes MIPI CSI-2 D-PHY 1.1 |
| Power: | 5 W~10 W |
| Abmessung: | 69.6 mm x 45 mm 260-pin SODIMM Connector |
| Sonstiges: | I2C, I2S, SPI, UART, SD/SDIO, GPIO |
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