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NVIDIA Jetson Xavier NX Module 8GB

NVIDIA Jetson Xavier NX Module 8GB

53,345.0056,881.00 (Inc. All Taxes And With GST Input Credit)

Smaller than a credit card (70×45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance—21 TOPS (at 15 W or 20 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.

NVIDIA® Jetson Xavier NX brings supercomputer performance to the edge in a small form factor system-on-module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems.

Jetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

Jetson Xavier NX Module Technical Specifications
AI Performance 21 TOPS
GPU 384-core NVIDIA Volta GPU with 48 Tensor Cores
CPU 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU
6MB L2 + 4MB L3
Memory 8 GB 128-bit LPDDR4x
59.7GB/s
Storage 16 GB eMMC 5.1
Power 10W | 15W | 20W
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 or 3×4 + 1×2 or 5×2 + 1×4) MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Video Encode 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
Video Decode 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
Display 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
DL Accelerator 2x NVDLA
Vision Accelerator 2x PVA
Networking 10/100/1000 BASE-T Ethernet
Mechanical 69.6mm x 45mm
260-pin SO-DIMM connector
Heatsink

Yes, No

Adapter

Yes, No

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