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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.
COMPACT, POWERFUL PERFORMANCE AT THE EDGE
XAVIER PERFORMANCE. NANO SIZE
At 70mm x 45mm, Jetson Xavier NX packs the power of the NVIDIA Xavier SoC into a module the size of a Jetson Nano?. This compact module combines exceptional performance and power advantage with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.
POWERFUL 21 TOPS AI PERFORMANCE
Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA® Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 59.7GB/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.
INCREDIBLE POWER EFFICIENCY
Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.
TECHNICAL SPECIFICATIONS
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Jetson Xavier NX 16GB |
Jetson Xavier NX 8G |
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AI Performance |
21 TOPS |
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GPU |
384-core NVIDIA Volta? GPU with 48 Tensor Cores |
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CPU |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU |
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Memory |
16 GB 128-bit LPDDR4x |
8 GB 128-bit LPDDR4x |
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Storage |
16 GB eMMC 5.1 |
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Power |
10 W | 15 W | 20 W |
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PCIe |
1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s* |
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CSI Camera |
Up to 6 cameras (24 via virtual channels) |
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Video Encode |
2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) |
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Video Decode |
2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) |
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Display |
2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
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DL Accelerator |
2x NVDLA Engines |
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* Please refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features
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