NVIDIA® Jetson AGX Xavier™ sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities.
NVIDIA Jetson AGX Xavier Industrial delivers the highest performance for AI-embedded industrial and functional safety applications in a power-efficient, rugged system-on-module. It’s form-factor and pin-compatible with Jetson AGX Xavier, and with up to 20X the performance and 4X the memory of Jetson TX2i, customers can bring the latest AI models to their most demanding use cases. The Jetson AGX Xavier Industrial module is available for order now and will ship in late July 2021.
Features
Size
A BREAKTHROUGH IN EMBEDDED APPLICATIONS At just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at 1/10 the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.
Performance
TAKING PERFORMANCE TO THE EDGE As the world’s first computer designed specifically for autonomous machines, Jetson AGX Xavier has the performance to handle visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. Get GPU workstation-class performance with up to 32 TOPS of peak compute and 750 Gbps of high-speed I/O in a compact form factor.
Power
THE POWER OF FLEXIBILITY The Jetson AGX Xavier series provides the highest level of performance for autonomous machines in a power-efficient system. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime and can be customized to your specific application needs.
A JETSON AGX XAVIER FOR ANY APPLICATION The Jetson AGX Xavier series of modules deliver up to 32 TOPS of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly.
Specifications
GPU
NVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores 20 TOPS (INT8)
{"id":6623542214742,"title":"NVIDIA Jetson AGX Xavier Industrial (32GB SOM)","handle":"nvidia-jetson-agx-xavier-industrial-32gb-som-online","description":"\u003cp data-mce-fragment=\"1\"\u003eNVIDIA® Jetson AGX Xavier™ sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan\u003eNVIDIA Jetson AGX Xavier Industrial delivers the highest performance for AI-embedded industrial and functional safety applications in a power-efficient, rugged system-on-module. It’s form-factor and pin-compatible with Jetson AGX Xavier, and with up to 20X the performance and 4X the memory of Jetson TX2i, customers can bring the latest AI models to their most demanding use cases. The Jetson AGX Xavier Industrial module is available for order now and will ship in late July 2021.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eFeatures \u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eSize\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA BREAKTHROUGH IN EMBEDDED APPLICATIONS\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAt just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at 1\/10 the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePerformance \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTAKING PERFORMANCE TO THE EDGE\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAs the world’s first computer designed specifically for autonomous machines, Jetson AGX Xavier has the performance to handle visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. Get GPU workstation-class performance with up to 32 TOPS of peak compute and 750 Gbps of high-speed I\/O in a compact form factor.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePower\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTHE POWER OF FLEXIBILITY\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series provides the highest level of performance for autonomous machines in a power-efficient system. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime and can be customized to your specific application needs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA JETSON AGX XAVIER FOR ANY APPLICATION\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series of modules deliver up to 32 TOPS of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eSpecifications \u003c\/h5\u003e\n\u003ctable data-mce-fragment=\"1\" style=\"width: 508.766px;\" align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eNVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores\u003cbr data-mce-fragment=\"1\"\u003e20 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e8-core NVIDIA Carmel Arm\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003ev8.2 64-bit CPU\u003cbr data-mce-fragment=\"1\"\u003e8MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x NVDLA\u003cbr data-mce-fragment=\"1\"\u003e10 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x 7-Way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eSafety Cluster Engine\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eDual Arm Cortex-R5 in lockstep\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eMemory\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e32GB 256-bit LPDDR4x (ECC support)\u003cbr data-mce-fragment=\"1\"\u003e136.5GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eStorage\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eUp to 6 cameras (36 via virtual channels)\u003cbr data-mce-fragment=\"1\"\u003e16 lanes MIPI CSI-2\u003cbr data-mce-fragment=\"1\"\u003eD-PHY 1.2 (up to 40Gbps)\u003cbr data-mce-fragment=\"1\"\u003eC-PHY 1.1 (up to 62Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x 4K60 (H.265\/H.264)\u003cbr data-mce-fragment=\"1\"\u003e6x 4K30 (H.265\/H.264)\u003cbr data-mce-fragment=\"1\"\u003e12x 1080p60 (H.265\/H.264)\u003cbr data-mce-fragment=\"1\"\u003e24x 1080p30 (H.265\/H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x 8K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e4x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e8x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e18x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e36x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e24x 1080p30(H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eUPHY\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e8x PCIe Gen4\u003cbr data-mce-fragment=\"1\"\u003e3x USB 3.1\u003cbr data-mce-fragment=\"1\"\u003eSingle Lane UFS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eNetworking\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eDisplay\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eThree multi-mode DP 1.2a\/e DP 1.4\/HDMI 2.0 a\/b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eOther I\/O\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eUSB 2.0\u003cbr data-mce-fragment=\"1\"\u003eUART, SPI, CAN, I2C, I2S, DMIC \u0026amp; DSPK, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003ePower\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e20W | 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eMechanical\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e100mm x 87mm\u003cbr data-mce-fragment=\"1\"\u003e699 pin Molex Mirror Mezz Connector\u003cbr data-mce-fragment=\"1\"\u003eIntegrated Thermal Transfer Plate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","published_at":"2022-12-06T11:11:09+05:30","created_at":"2021-08-30T20:32:59+05:30","vendor":"ThinkRobotics","type":"Single Board Computers","tags":["AGX","AGX industrial","AI","AI GPU","GPU","Jetson GPU","Jetson module","jetson nano","Jetson Nano Case","jetson xavier","JT-SOM","NVDA","nvidia agx","nvidia gpu","nvidia jetson","NVIDIA Jetson Xavier Case","NVIDIA-COM"],"price":14699999,"price_min":14699999,"price_max":14699999,"available":true,"price_varies":false,"compare_at_price":15999999,"compare_at_price_min":15999999,"compare_at_price_max":15999999,"compare_at_price_varies":false,"variants":[{"id":39522915319894,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"SBC1104-MODi","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"NVIDIA Jetson AGX Xavier Industrial (32GB SOM)","public_title":null,"options":["Default Title"],"price":14699999,"weight":999,"compare_at_price":15999999,"inventory_management":"shopify","barcode":"39522915319894","requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/thinkrobotics.com\/cdn\/shop\/products\/900-82888-0080-000.jpg?v=1630335784"],"featured_image":"\/\/thinkrobotics.com\/cdn\/shop\/products\/900-82888-0080-000.jpg?v=1630335784","options":["Title"],"media":[{"alt":"NVIDIA Jetson AGX Xavier Industrial (32GB SOM) Online","id":21231164850262,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1200,"width":1200,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/900-82888-0080-000.jpg?v=1630335784"},"aspect_ratio":1.0,"height":1200,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/900-82888-0080-000.jpg?v=1630335784","width":1200}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cp data-mce-fragment=\"1\"\u003eNVIDIA® Jetson AGX Xavier™ sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan\u003eNVIDIA Jetson AGX Xavier Industrial delivers the highest performance for AI-embedded industrial and functional safety applications in a power-efficient, rugged system-on-module. It’s form-factor and pin-compatible with Jetson AGX Xavier, and with up to 20X the performance and 4X the memory of Jetson TX2i, customers can bring the latest AI models to their most demanding use cases. The Jetson AGX Xavier Industrial module is available for order now and will ship in late July 2021.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eFeatures \u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eSize\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA BREAKTHROUGH IN EMBEDDED APPLICATIONS\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAt just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at 1\/10 the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePerformance \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTAKING PERFORMANCE TO THE EDGE\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAs the world’s first computer designed specifically for autonomous machines, Jetson AGX Xavier has the performance to handle visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. Get GPU workstation-class performance with up to 32 TOPS of peak compute and 750 Gbps of high-speed I\/O in a compact form factor.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePower\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTHE POWER OF FLEXIBILITY\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series provides the highest level of performance for autonomous machines in a power-efficient system. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime and can be customized to your specific application needs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA JETSON AGX XAVIER FOR ANY APPLICATION\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series of modules deliver up to 32 TOPS of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eSpecifications \u003c\/h5\u003e\n\u003ctable data-mce-fragment=\"1\" style=\"width: 508.766px;\" align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eNVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores\u003cbr data-mce-fragment=\"1\"\u003e20 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e8-core NVIDIA Carmel Arm\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003ev8.2 64-bit CPU\u003cbr data-mce-fragment=\"1\"\u003e8MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x NVDLA\u003cbr data-mce-fragment=\"1\"\u003e10 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x 7-Way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eSafety Cluster Engine\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eDual Arm Cortex-R5 in lockstep\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eMemory\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e32GB 256-bit LPDDR4x (ECC support)\u003cbr data-mce-fragment=\"1\"\u003e136.5GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eStorage\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eUp to 6 cameras (36 via virtual channels)\u003cbr data-mce-fragment=\"1\"\u003e16 lanes MIPI CSI-2\u003cbr data-mce-fragment=\"1\"\u003eD-PHY 1.2 (up to 40Gbps)\u003cbr data-mce-fragment=\"1\"\u003eC-PHY 1.1 (up to 62Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x 4K60 (H.265\/H.264)\u003cbr data-mce-fragment=\"1\"\u003e6x 4K30 (H.265\/H.264)\u003cbr data-mce-fragment=\"1\"\u003e12x 1080p60 (H.265\/H.264)\u003cbr data-mce-fragment=\"1\"\u003e24x 1080p30 (H.265\/H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e2x 8K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e4x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e8x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e18x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e36x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e24x 1080p30(H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eUPHY\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e8x PCIe Gen4\u003cbr data-mce-fragment=\"1\"\u003e3x USB 3.1\u003cbr data-mce-fragment=\"1\"\u003eSingle Lane UFS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eNetworking\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eDisplay\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eThree multi-mode DP 1.2a\/e DP 1.4\/HDMI 2.0 a\/b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eOther I\/O\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003eUSB 2.0\u003cbr data-mce-fragment=\"1\"\u003eUART, SPI, CAN, I2C, I2S, DMIC \u0026amp; DSPK, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003ePower\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e20W | 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 120px;\" class=\"tableCLdata\"\u003eMechanical\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\" style=\"width: 381.766px;\" class=\"tableCRdata\"\u003e100mm x 87mm\u003cbr data-mce-fragment=\"1\"\u003e699 pin Molex Mirror Mezz Connector\u003cbr data-mce-fragment=\"1\"\u003eIntegrated Thermal Transfer Plate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e"}
