900-13767-0000-001 NVIDIA Jetson Orin NX, 8x 2 GHz, 100 TOPS, 16 GB DDR5

The NVIDIA Jetson Orin NX 16GB module provides up to 100 TOPS of AI performance in the smallest Jetson form factor, with configurable power between 10W and 25W. This gives you three times the performance of NVIDIA Jetson AGX Xavier and five times the performance of NVIDIA Jetson

High performance GPU with advanced architecture - 1024-core NVIDIA Amps - architecture GPU with 32 tensor cores - 2x NVDLA v2.0 - 8-core Cortex-A78AE v8.2 64-bit CPU - 16 GB 128-bit LPDDR5 - PVA v2.0

Experience the world's most powerful AI computer for autonomous energy-efficient machines in the smallest NVIDIA Jetson ™ form factor ever. It offers five times the performance and twice as many last-generation NVIDIA® CUDA® cores, plus high-speed interface support for multiple sensors. With 100 TOPS for multiple simultaneous AI inference pipelines, Jetson Orin ™ NX gives you big performance in an amazingly compact package.

Technical Data - AI performance: 100 TOPS - GPU: 1024 core amps, with 32 tensor cores. - DL accelerator: (2x) NVDLA V2.0 - vision accelerator: PVA v2.0 - CPU: 8 core Cortex-A78AE / 2 MB L2 + 4 MB L3 - Memory: 16 GB 128-bit LPDDR5 at 2133 Hz @102.4 GB/s - Memory: 0 GB (Supports external NVMe) - Video encoding: 1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1 - video decoding: 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, AV1 - Camera: up to 4 cameras (8 via virtual channels) / 8 lanes MIPI CSI-2 / D-PHY 1.2 (20 Gbit/s) - PCI Express: 3 x1 + 1 (x4 PCIe Gen 4) - connector: 260-pin connector - power: 10W / 15W / 25W - dimensions (LxW): 69.6 x 45 mm

Application - autonomous vehicles - drones and robots - industrial automation - medical imaging - smart retail

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