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Features
- Compact size SoM with advanced AI performance: 6 TFLOPS (FP16), 21 TOPS (INT8) performance more than 10X the performance of Jetson TX2
- Low power consumption: Cost selectable as 10W to 15W
- Supports entire NVIDIA Software Stack: Compatible NVIDIA software for AI application development and deployment
- Integral hardware design: Easy to build, deploy, and manage AI at the edge
- Flexible and scalable platform: Reduce development costs
Description
Jetson Xavier NX 16GB delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. It can run modern neural networks in parallel and process data from multiple high-resolution sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
Presentation of the capabilities of Jetson Xavier NX.
Specifications
AI PERFORMANCE 21 TOPS (INT8) GPU NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores Max GPU Frequency 1100 MHz CPU 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 Max CPU Frequency 1900 MHz Memory 16 GB 128-bit LPDDR4x @ 59.7 GB/s Storage 16 GB eMMC 5.1 Power 10 W | 15 W | 20 W PCIe 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s * CSI Camera Up to 6 cameras (24 via virtual channels) 14 lanes (3×4 or 6×2) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) Video Encode 2x 4K @ 60 | 4x 4K @ 30 | 10x 1080p @ 60 | 22x 1080p30 (H.265/H.264) Video Decode 2x 8K @ 30 | 6x 4K @ 60 | 12x 4K @ 30 | 22x 1080p @ 60 | 44x 1080p @ 30 (H.265) 2x 4K @ 60 | 6x 1080p @ 60 | 22x 1080p @ 30 (H.264) Display 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 DL Accelerator 2x NVDLA Engines DLA Max Frequency 1100 MHz Vision Accelerator 2x PVA Networking 10/100/1000 Base-T Ethernet USB 1xUSB 3.1 (10 Gbps) | 3xUSB 2.0 Other IOs 1x SDIO / 2x SPI / 3x UART / 2x I2S / 4x I2C / 1x CAN / GPIOs Dimensions 45 mm x 69.6 mm Connector 260-pin SO-DIMM connector
