# NVIDIA Jetson Xavier A breakthrough in embedded applications. [Buy Now](https://store.nvidia.com/jetson/store/) The Jetson Xavier™ family of modules features the world’s first computers designed specifically for autonomous machines. Up to 32 TOPS of AI performance makes these modules ideal for handling visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. With five different production modules based on the same architecture, theJetson Xavier family delivers just what you need to start developing for your specific robotics and [edge AI applications](https://blogs.nvidia.com/blog/2022/02/17/what-is-edge-ai/). [Compare Jetson Xavier production modules](#specifications) ## Next-Gen Capabilities Jetson Xavier sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in intelligent machines with end-to-end autonomous capabilities. [Buy Jetson Xavier Modules](https://store.nvidia.com/jetson/store/) ### Jetson AGX Xavier Series Jetson AGX Xavier-series modules feature a compact form factor of just 100mm x 87mm and 750Gdps of high-speed I/O, delivering workstation performance at 1/10 the size. Ideal for autonomous machines, it has configurable power profiles and is available in 64GB, 32GB, and Industrial versions. [See Jetson AGX Xavier Module Datasheets](https://developer.nvidia.com/embedded/downloads#?search=Data%20Sheet&tx=$product,jetson_agx_xavier) ### Jetson Xavier NX Series Jetson Xavier NX-series modules deliver up to 21 TOPS of AI performance in a small form factor measuring only 70mm x 45mm. They run multiple neural networks in parallel and support high-resolution sensors, making them perfect for embedded systems. With high performance, power efficiency, and support for all popular AI frameworks, these modules are production ready and available in 16GB and 8GB versions. [See Jetson Xavier NX Module Datasheets](https://developer.nvidia.com/embedded/downloads#?search=Data%20Sheet&tx=$product,jetson_xavier_nx) ## View Jetson Xavier Technical Specifications | | | | | | | | --- | --- | --- | --- | --- | --- | | | **Jetson AGX Xavier series** | | | **Jetson Xavier NX series** | | | **Jetson AGX Xavier Industrial** | **Jetson AGX Xavier (64GB)** | **Jetson AGX Xavier (32GB)** | **Jetson Xavier NX (16GB)** | **Jetson Xavier NX (8GB)** | | AI Performance | 30 TOPS | 32 TOPS | | 21 TOPS | | | GPU | 512-core NVIDIA Volta architecture GPU with 64 Tensor Cores | | | 384-core NVIDIA Volta™ architecture GPU with 48 Tensor Cores | | | GPU Max Frequency | 1211 MHz | 1377 MHz | | 1100 MHz | | | CPU | 8-core NVIDIA Carmel Arm®v8.2 64-bit CPU 8MB L2 + 4MB L3 | | | 6-core NVIDIA Carmel Arm®v8.2 64-bit CPU 6MB L2 + 4MB L3 | | | CPU Max Frequency | 2.0 GHz | 2.2 GHz | | 1.9 GHz | | | [DL Accelerator](https://developer.nvidia.com/deep-learning-accelerator) | 2x NVDLA | | | 2x NVDLA | | | DLA Max Frequency | 1.2 GHz | 1.4 GHz | | 1.1 GHz | | | Vision Accelerator | 2x PVA | | | 2x PVA | | | Safety Cluster Engine | 2x Arm® Cortex®-R5 in lockstep | - | | - | | | Memory | 32GB 256-bit LPDDR4x (ECC support) 136.5GB/s | 64GB 256-bit LPDDR4x 136.5GB/s | 32GB 256-bit LPDDR4x 136.5GB/s | 16GB 128-bit LPDDR4x 59.7GB/s | 8GB 128-bit LPDDR4x 59.7GB/s | | Storage | 64GB eMMC 5.1 | 32GB eMMC 5.1 | | 16GB eMMC 5.1 | | | Video Encode | 2x 4K60 (H.265) 6x 4K30 (H.265) 12x 1080p60 (H.265) 24x 1080p30 (H.265) | 4x 4K60 (H.265) 8x 4K30 (H.265) 16x 1080p60 (H.265) 32x 1080p30 (H.265) | | 2x 4K60 (H.265) 4x 4K30 (H.265) 10x 1080p60 (H.265) 22x 1080p30 (H.265) | | | Video Decode | 2x 8K30 (H.265) 4x 4K60 (H.265) 8x 4K30 (H.265) 18x 1080p60 (H.265) 36x 1080p30 (H.265) | 2x 8K30 (H.265) 6x 4K60 (H.265) 12x 4K30 (H.265) 26x 1080p60 (H.265) 52x 1080p30 (H.265) | | 2x 8K30 (H.265) 6x 4K60 (H.265) 12x 4K30 (H.265) 22x 1080p60 (H.265) 44x 1080p30 (H.265) | | | CSI Camera | Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2 D-PHY 1.2 (up to 40 Gbps) C-PHY 1.1 (up to 62 Gbps) | Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2 | 8 lanes SLVS-EC D-PHY 1.2 (up to 40 Gbps) C-PHY 1.1 (up to 62 Gbps) | | Up to 6 cameras (24 via virtual channels) 14 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) | | | PCIe\* | 1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen4, Root Port & Endpoint) | | | 1 x4 (PCIe Gen4) + 1 x1 (PCIe Gen3) | | | USB\* | 3x USB 3.2 Gen2 (10 Gbps) 4x USB 2.0 | | | 1x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0 | | | Networking\* | 1x GbE | | | 1x GbE | | | Display | 3 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 | | | 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 | | | Other I/O | 5x UART, 3x SPI, 4x I2S, 8x I2C, 2x CAN, PWM, DMIC, GPIOs | | | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, PWM, DMIC & DSPK, GPIOs | | | Power | 20W - 40W | 10W - 30W | | 10W - 20W | | | Mechanical | 100mm x 87mm 699-pin connector Integrated Thermal Transfer Plate | | | 69.6mm x 45mm 260-pin SO-DIMM connector | | † The Jetson Nano and Jetson Xavier NX modules included as part of the Jetson Nano developer kit and the Jetson Xavier NX developer kit have slots for using microSD cards instead of eMMC as system storage devices. Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features. View Full Specs View Fewer Specs ## Watch Jetson Xavier in Action ### Serve Robotics Presents an NVIDIA Jetson AGX Xavier-Equipped Delivery Robot [Watch the Video](#watch-video-pckZFC_hs50) ### Jetson Partner Solutions: Jetson Xavier Series [Watch the Video](#watch-video-CJyejVg9LG8) ### Jetson Ruggedized Systems Robotics and automation are increasingly being used in manufacturing, agriculture, construction, energy, government, and other industries. These applications often require extended temperature, shock, and vibration specifications to operate in harsh environments. The NVIDIA Jetson platform offers multiple options for rugged applications. [Learn More About Jetson AGX Xavier Industrial](https://developer.nvidia.com/embedded/jetson/jetson-ruggedized-systems) ## Jetson Resources ### Support Resources Get the resources and support you need to create innovative AI products. [See Support Options](https://developer.nvidia.com/embedded/community/support-resources) ### Success Stories See how companies are using Jetson solutions to accelerate product development. [Read Jetson Stories](https://resources.nvidia.com/l/en-us-jetson-success-stories) ### Blogs & News Get the latest news and stories on NVIDIA Jetson in action. [Read Technical Blogs](https://developer.nvidia.com/blog/tag/jetson/) ### Jetson Forum Discuss the latest applications and get help from other Jetson developers. [Explore the Latest Topics](https://forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/70) Learn more about Jetson Xavier and how ecosystem partners and customers are tapping into the Jetson platform to bring powerful AI solutions to market. [Download the Jetson Solutions Ebook](https://www.nvidia.com/en-us/lp/autonomous-machines/embedded-ai-jetson-solutions-ebook.md) ### NVIDIA Jetson Partner Ecosystem The Jetson partner ecosystem offers a wide range of AI and system software, developer tools, and custom software development. A broad range of Jetson Xavier systems and carrier boards are also available, as well as peripherals such as sensors, cameras, connectivity modules (5G, 4G, Wi-Fi), and more. [Xavier-Supported Development Systems](https://developer.nvidia.com/embedded/jetson-partner-products?t1_hardware-solution=Development+Systems) [Xavier-Supported Cameras](https://developer.nvidia.com/embedded/jetson-partner-supported-cameras?t1_supported-jetson-products=Xavier) ### NVIDIA Software All NVIDIA Jetson modules and developer kits are supported by the same software stack, so you can develop once and deploy everywhere. Jetson software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. This brings the same powerful NVIDIA technologies that power data centers and cloud deployments to the edge. [Learn More About Jetson Software](https://developer.nvidia.com/embedded/develop/software) ### Pretrained Models Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the [NGC™ catalog](https://www.nvidia.com/en-us/gpu-cloud.md) are performance-optimized and ready to be fine-tuned with the [NVIDIA TAO Toolkit](https://developer.nvidia.com/tao-toolkit) and customer datasets, reducing time and cost for production of AI software development. [Download Pretrained Models](https://ngc.nvidia.com/catalog/models) ## NVIDIA Platforms for Robotics, AI Speech, and Smart Cities NVIDIA software platforms—including Isaac™ for robotics, Riva for AI speech, and Metropolis for video analytics—are available to speed vertical-specific applications. ### NVIDIA Isaac Platform for Robotics Demand for intelligent robots is growing as more industries embrace automation to address supply chain challenges and labor force shortages. Innovators across manufacturing, retail, agriculture, logistics, warehouses, delivery, and healthcare are using the NVIDIA Isaac platform to accelerate their robotics development, simulation, and deployment. [Learn About Isaac](https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics.md) ### NVIDIA Riva for Speech AI Applications NVIDIA Riva is a fully accelerated SDK for building multimodal conversational AI applications using an end-to-end deep learning pipeline. The Riva SDK includes pretrained conversational AI models, the NVIDIA TAO Toolkit, and optimized skills for speech, vision, and natural language processing (NLP) tasks. [Learn About Riva](https://developer.nvidia.com/riva) ### NVIDIA Metropolis for Vision AI Applications NVIDIA Metropolis is an application framework, set of developer tools, and partner ecosystem. It brings visual data and AI together to improve operational efficiency and safety across a broad range of industries. 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