900-13767-0040-000 NVIDIA Jetson Orin Nano, 20 TOPS, 4 GB RAM
reichelt elektronik
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300.37 EUR1281.41 PLN
- Sklep zagraniczny
- MPN:
- 900-13767-0040-000
- Kod:
- 358831
- Producent:
- NVIDIA
- GTIN-13:
- 9900003588318
- Waluta:
- euro
- Dodany do bazy:
- Ostatnio widziany:
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The NVIDIA Jetson Orin Nano 4GB module delivers up to 20 TOPS of AI performance in the smallest Jetson form factor, with configurable power from 5W to 10W. This gives you up to 40x the performance of NVIDIA Jetson Nano and sets the new baseline for entry-level Edge AI.
Bring next-level performance to your next Edge AI or robotics innovation in a small, power-efficient form factor designed for the Edge. Get up to 20 TOPS of AI performance in the smallest NVIDIA Jetson ™ form factor with power options ranging from 5W to 15W. All in a powerful AI supercomputer with the original Jetson Nano ™ footprint.
- 512-core NVIDIA amp. - architecture GPU with 16 tensor cores. - 6-core Arm Cortex-A78AE v8.2 - 4 GB 64-bit LPDDR5 - support for external NVMe
Technical Data - AI performance: 20 TOPS - GPU: 512-core GPU with NVIDIA Ampere architecture and 16 tensor cores @625 MHz - CPU: 6-core Cortex-A78AE v8.2 64-bit CPU 1.5 MB L2 + 4 MB L3 @1500 MHz - Memory: 4 GB 64-bit LPDDR5 34 GB/s - Memory: 0 GB (Supports external NVMe) - Camera: up to 4 cameras (8 via virtual channels*) 8 MIPI CSI-2 lanes D-PHY 2.1 (up to 20 Gbit/s) - video encoding: 1080p30 supported by 1-2 CPU cores - video decoding: 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) - PCIe: 1 x4 + 3 x1 (PCIe Gen3, root port and endpoint) - USB: 3x USB 3.2 Gen2 (10 Gbit/s) / 3x USB 2.0 - LAN: 1x GbE - display: 1x 4K30 multimode DP 1.2 (+MST)/eDP 1.4/HDMI 1.4 - additional I/Os: 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs - connector: 260-pin SO-DIMM connector - Power: 7 - 10 W - dimensions (LxW): 69.6 x 45 mm
Manufacturer Information & Software https://developer.nvidia.com/embedded/jetson-modules https://developer.nvidia.com/embedded/learn/getting-started-jetson https://developer.nvidia.com/embedded/jetpack https://developer.nvidia.com/embedded/downloads
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