Jetson Xavier NX Developer Kit
Brings Supercomputer Performance To The Edge In A Small Form Factor SOM
NVIDIA Jetson Xavier NX Developer Kit 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 Developer Kit is production-ready and supports all popular AI frameworks.
Compact, Powerful Performance At The Edge
SIZE: XAVIER PERFORMANCE. NANO SIZE.
At 70 mm x 45 mm, 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.
PERFORMANCE: 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 51GB/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.
POWER: 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.
|GPU||NVIDIA Volta architecture|
with 384 NVIDIA CUDA cores and 48 Tensor cores
|CPU||6-core NVIDIA Carmel ARM®v8.2 64-bit CPU|
6 MB L2 + 4 MB L3
|MEMORY||8 GB 128-bit LPDDR4x 51.2GB/s|
|STORAGE||microSD (Card not included)|
|POWER||10W | 15W|
|PCIE||1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s*|
|CAMERA||2x MIPI CSI-2 D-PHY lanes|
|VIDEO ENCODE||2x 4Kp30 | 6x 1080p 60 | 14x 1080p30 (H.265/H.264)|
|VIDEO DECODE||2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)|
2x 4Kp30 | 6x 1080p60 |16x 1080p30 (H.264)
|DISPLAY||HDMI and DP|
|DLA||2x NVDLA Engines|
|VISION ACCELERATOR||7-Way VLIW Vision Processor|
|CONNECTIVITY||Gigabit Ethernet, M.2 Key E (WiFi/BT included), M.2 Key M (NVMe)|
|USB||4x USB 3.1, USB 2.0 Micro-B|
|OTHERS||GPIO, I2C, I2S, SPI, UART|
|MECHANICAL||103 mm x 90.5 mm x 34 mm|