{"product_id":"nvidia-jetson-agx-thor-ai-developer-kit-for-robotics-edge-ai","title":"NVIDIA Jetson AGX Thor AI Developer Kit for Robotics \u0026 Edge AI","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson AGX Thor Developer Kit - Ultimate Platform for Physical AI and Robotics\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson AGX Thor Developer Kit\u003c\/strong\u003e is the most powerful edge AI platform for next-generation humanoid robotics, autonomous machines, and physical AI systems. Powered by the \u003cstrong\u003eNVIDIA Blackwell GPU architecture and 128GB of high-speed LPDDR5X memory\u003c\/strong\u003e, this developer kit delivers an astonishing \u003cstrong\u003e2070 FP4 TFLOPS of AI compute performance\u003c\/strong\u003e within a compact \u003cstrong\u003e130W power envelope\u003c\/strong\u003e. Built on the NVIDIA T5000 system-on-module (SoM), the Jetson AGX Thor provides \u003cstrong\u003e7.5 times higher AI performance and 3.5 times better energy efficiency\u003c\/strong\u003e compared to the Jetson AGX Orin, making it the definitive platform for running the latest generative AI models at the edge.\u003c\/p\u003e\n\n\u003ch2\u003eWhy You'll Love the NVIDIA Jetson AGX Thor\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBlackwell GPU Power\u003c\/strong\u003e: Up to 2070 FP4 TFLOPS for seamless generative AI model inference and real-time decision-making\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB LPDDR5X Memory\u003c\/strong\u003e: Massive memory bandwidth for handling large language models, vision-language models, and multi-modal AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e14-Core Arm Neoverse-V3AE CPU\u003c\/strong\u003e: Robust processing for low-latency, real-time applications with Multi-Instance GPU (MIG) support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComplete Out-of-the-Box Solution\u003c\/strong\u003e: Includes 1TB NVMe SSD pre-loaded with Ubuntu 24.04 LTS and JetPack 7, Wi-Fi 6E module, and 140W power supply\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Speed Sensor Integration\u003c\/strong\u003e: QSFP slot with 4 × 25GbE networking, Multi-GbE RJ45, USB 3.2, HDMI, DisplayPort, and extensive I\/O for real-time sensor fusion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsaac GR00T Ready\u003c\/strong\u003e: Native support for NVIDIA Isaac GR00T workflows, Metropolis, Holoscan, and agentic AI frameworks\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eBuilt for Physical AI and Humanoid Robotics\u003c\/h2\u003e\n\u003cp\u003eThe Jetson AGX Thor represents a new class of robotic computers, architected from the ground up for \u003cstrong\u003ehumanoid robots and physical AI applications\u003c\/strong\u003e. It supports a wide range of \u003cstrong\u003egenerative AI models\u003c\/strong\u003e, including Vision Language Action (VLA) models like \u003cstrong\u003eNVIDIA Isaac GR00T N\u003c\/strong\u003e, popular large language models (LLMs), and vision-language models (VLMs). Whether you're developing intelligent robots, autonomous vehicles, or advanced edge AI systems, Jetson Thor accelerates your innovation with cutting-edge compute performance and real-time responsiveness.\u003c\/p\u003e\n\n\u003ch2\u003eAdvanced AI and Accelerators\u003c\/h2\u003e\n\u003cp\u003eBeyond the Blackwell GPU, the Jetson AGX Thor includes a comprehensive \u003cstrong\u003esuite of hardware accelerators\u003c\/strong\u003e designed for demanding robotics workloads:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eThird-Generation Programmable Vision Accelerator (PVA)\u003c\/strong\u003e: Offload complex vision processing tasks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Video Encoders and Decoders\u003c\/strong\u003e: High-throughput video processing for surveillance, streaming, and multi-camera systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOptical Flow Accelerator\u003c\/strong\u003e: Real-time motion tracking and scene understanding\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCamera Offload Engine\u003c\/strong\u003e: High-speed sensor ingestion for multi-modal perception pipelines\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSeamless Cloud-to-Edge AI Workflows\u003c\/h2\u003e\n\u003cp\u003eThe Jetson Thor runs the full \u003cstrong\u003eNVIDIA AI software stack\u003c\/strong\u003e for physical AI, delivering a seamless cloud-to-edge experience. Develop and deploy applications using \u003cstrong\u003eNVIDIA Isaac for robotics\u003c\/strong\u003e, \u003cstrong\u003eNVIDIA Metropolis for visual AI\u003c\/strong\u003e, and \u003cstrong\u003eNVIDIA Holoscan for sensor processing\u003c\/strong\u003e. Build agentic AI workflows like Video Search and Summarization (VSS) directly at the edge. With JetPack 7 pre-installed on Ubuntu 24.04 LTS, you get immediate access to CUDA, TensorRT, cuDNN, and the latest AI frameworks without lengthy configuration.\u003c\/p\u003e\n\n\u003ch2\u003eExtensive Connectivity for Multi-Modal Sensor Fusion\u003c\/h2\u003e\n\u003cp\u003eThe developer kit's reference carrier board offers an extensive array of I\/O options for high-speed sensor fusion and real-time data processing:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eQSFP Slot\u003c\/strong\u003e: 4 × 25GbE for ultra-high-bandwidth networking\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-GbE RJ45 Connector\u003c\/strong\u003e: Wired Ethernet for reliable connectivity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple USB 3.2 Ports and USB-C\u003c\/strong\u003e: Peripheral connectivity and power delivery\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHDMI and DisplayPort\u003c\/strong\u003e: Dual display outputs for visualization and debugging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCAN Bus\u003c\/strong\u003e: Automotive and industrial communication protocol support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eM.2 NVMe Slot\u003c\/strong\u003e: Expandable storage (1TB drive included)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi 6E Module\u003c\/strong\u003e: High-speed wireless connectivity included\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003ePower and Efficiency\u003c\/h2\u003e\n\u003cp\u003eThe Jetson AGX Thor is designed for flexible power management, supporting \u003cstrong\u003e40W to 130W configurable power modes\u003c\/strong\u003e. This enables developers to optimize for performance when plugged in or energy efficiency for battery-operated robotic platforms. The included \u003cstrong\u003e140W power supply\u003c\/strong\u003e ensures you have headroom for full-throttle AI workloads and multi-sensor processing.\u003c\/p\u003e\n\n\u003ch2\u003eIdeal Applications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e: Real-time perception, decision-making, and motor control for advanced humanoid platforms\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Machines\u003c\/strong\u003e: AMRs, drones, and self-driving vehicles requiring multi-modal AI\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePhysical AI Research\u003c\/strong\u003e: Frontier research on VLA models, embodied AI, and generalist robotics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Automation\u003c\/strong\u003e: Vision-guided robotics, quality inspection, and intelligent manufacturing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Spaces and Surveillance\u003c\/strong\u003e: Agentic AI for video analytics, search, summarization, and edge intelligence\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMedical Robotics\u003c\/strong\u003e: Surgical assistants, patient care robots, and medical imaging at the edge\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson AGX Thor Developer Kit (with Jetson T5000 module pre-mounted on reference carrier board)\u003c\/li\u003e\n\u003cli\u003e1TB NVMe SSD (pre-loaded with Ubuntu 24.04 LTS and JetPack 7)\u003c\/li\u003e\n\u003cli\u003e140W Power Supply\u003c\/li\u003e\n\u003cli\u003eWi-Fi 6E Module (pre-installed)\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\u003ch3\u003eAI Performance\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Compute (FP4)\u003c\/td\u003e\n\u003ctd\u003e2070 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance vs. AGX Orin\u003c\/td\u003e\n\u003ctd\u003e7.5× higher AI compute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnergy Efficiency vs. AGX Orin\u003c\/td\u003e\n\u003ctd\u003e3.5× better efficiency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eProcessing\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell GPU with Multi-Instance GPU (MIG) support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e14-core Arm Neoverse-V3AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem-on-Module\u003c\/td\u003e\n\u003ctd\u003eNVIDIA T5000 (Jetson Thor series)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eStorage and Media\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB NVMe SSD (included, pre-loaded)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003eDual hardware encoders\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003eDual hardware decoders\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptical Flow Accelerator\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgrammable Vision Accelerator\u003c\/td\u003e\n\u003ctd\u003e3rd-generation PVA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eNetworking and Connectivity\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-Speed Networking\u003c\/td\u003e\n\u003ctd\u003eQSFP slot with 4 × 25GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003eMulti-GbE RJ45 connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6E module (included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eMultiple USB 3.2 Gen 2 ports, USB-C with DP Alt Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Outputs\u003c\/td\u003e\n\u003ctd\u003eHDMI 2.1, DisplayPort 1.4a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN Bus\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Expansion\u003c\/td\u003e\n\u003ctd\u003eM.2 Key M (NVMe) and M.2 Key E (Wi-Fi)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower and Physical\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003e40W to 130W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply Included\u003c\/td\u003e\n\u003ctd\u003e140W AC adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 1.94 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eHeatsink and active fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eSoftware and Ecosystem\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu 24.04 LTS (pre-loaded)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware Stack\u003c\/td\u003e\n\u003ctd\u003eJetPack 7 SDK (includes CUDA, TensorRT, cuDNN, VPI, OpenCV)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Isaac (robotics), Metropolis (visual AI), Holoscan (sensor processing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel Support\u003c\/td\u003e\n\u003ctd\u003eIsaac GR00T N (VLA models), LLMs, VLMs, generative AI models\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContainer Support\u003c\/td\u003e\n\u003ctd\u003eDocker with NGC container registry integration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003cp\u003e\u003cem\u003eSpecifications are sourced from the official NVIDIA developer page and may be updated. The NVIDIA Jetson AGX Thor Developer Kit is designed for developers, researchers, and professionals building advanced AI and robotics solutions. For Australian power requirements, ensure you select the ANZ region-specific model (945-14070-0085-000 or 945-14070-0086-000).\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324926128206,"sku":"PA-NVIDJETSONAGXTHOR","price":8560.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/380761_large_954d60cf-8bf4-4a0b-a85f-a904006aef04.png?v=1789260624","url":"https:\/\/projectorsaustralia.com.au\/products\/nvidia-jetson-agx-thor-ai-developer-kit-for-robotics-edge-ai","provider":"Projectors Australia","version":"1.0","type":"link"}