Overview : Jetson Xavier NX 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.
Technical Specification :
10 W |
15 W |
|
---|---|---|
AI Performance |
14 TOPS (INT8) |
21 TOPS (INT8) |
GPU |
384-core NVIDIA Volta™ GPU with 48 Tensor Cores |
|
GPU Max Freq |
800 MHz |
1100 MHz |
CPU |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3 |
|
CPU Max Freq |
2-core @ 1500MHz |
2-core @ 1900MHz |
Memory |
8 GB 128-bit LPDDR4x @ 1600 MHz 51.2GB/s |
|
Storage |
16 GB eMMC 5.1 |
|
Power |
10W|15W |
|
PCIe |
1 x1 + 1x4 (PCIe Gen3, Root Port & Endpoint) |
|
CSI Camera |
Up to 6 cameras (36 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) |
|
Video Encode |
2x464MP/sec (HEVC) 2x 4K @ 30 (HEVC) 6x 1080p @ 60 (HEVC) 14x 1080p @ 30 (HEVC) |
|
Video Decode |
2x690MP/sec (HEVC) 2x 4K @ 60 (HEVC) 4x 4K @ 30 (HEVC) 12x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC) 16x 1080p @ 30 (H.264) |
|
Display |
2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
|
DL Accelerator |
2x NVDLA Engines |
|
Vision Accelerator |
7-Way VLIW Vision Processor |
|
Networking |
10/100/1000 BASE-T Ethernet |
|
Mechanical |
45 mm x 69.6 mm 260-pin SO-DIMM connector |