The NVIDIA Jetson platform is a family of compact, high-performance computer modules built to bring AI to the edge, enabling everything from robotics and autonomous vehicles to industrial automation. Each Jetson module integrates powerful GPUs with ARM-based processors, allowing autonomous machines—such as robots, unmanned vehicles, and intelligent sensors—to operate with speed and precision directly where the data is generated.

In robotics and other autonomous systems, milliseconds can determine success or failure—whether it’s avoiding an obstacle, making a precision movement, or responding to a critical safety event. Edge AI addresses this by processing data locally, reducing latency for real-time decision-making and ensuring systems keep running even without internet connectivity. This local processing also protects privacy by keeping sensitive information on-device and reduces network load, saving both bandwidth and operating costs.

As robots and intelligent machines take on more complex tasks, from multi-sensor fusion to running large AI models, their need for computing power grows rapidly. Next-generation edge platforms must not only deliver ultra-low latency and high throughput but also support advanced AI workloads like generative AI, vision-language understanding, and autonomous navigation—all in compact, energy-efficient form factors.

The latest member of the Jetson family, Jetson Thor, was developed to meet the growing demand for greater computing power to support next-generation humanoid robots, autonomous systems and large AI models running directly on-device.

Built for demanding workloads such as generative AI and multi-sensor fusion, Jetson Thor delivers up to 7.5× higher AI performance and 3.5× better energy efficiency than AGX Orin. While AGX Orin offered ~275 TOPS, Jetson Thor surpassed it dramatically, reaching 2,070 TFLOPS (FP4). This leap in performance allows developers to run larger deep learning models, process more sensors in parallel, and achieve faster real-time control—making Jetson Thor a better choice for edge AI.

Jetson AGX Thor redefines robotic intelligence, delivering the power and efficiency needed to bring next-generation humanoid robots to life. It supports a wide range of generative AI models—from Cosmos Reason, DeepSeek, Llama, Gemini, and Qwen to domain-specific robotics models like NVIDIA Isaac™ GR00T N1.5—enabling any developer to easily experiment and run inference locally, whether with Vision Language Action (VLA) models, popular LLMs, or VLMs.

To deliver a seamless cloud-to-edge experience, Jetson AGX Thor runs the NVIDIA AI software stack for physical AI applications, including:

• NVIDIA Isaac for robotics,
• NVIDIA Metropolis for visual agentic AI, and
• NVIDIA Holoscan for sensor processing.

It also enables the creation of AI agents directly at the edge using NVIDIA agentic AI workflows such as Video Search and Summarization (VSS).

Video has become one of the most valuable sources of information in today’s connected world, powering everything from security monitoring to industrial inspection, retail analytics, and healthcare diagnostics. However, the sheer volume of video data is overwhelming—hours of footage must often be reviewed just to find a few seconds of relevant events. Without automation, this process is slow, expensive, and prone to human error.

This is where Video Search and Summarization (VSS) comes in. VSS is a powerful generative AI application designed to streamline the development of intelligent video analytics agents. Built on the NVIDIA AI Blueprint for video search and summarization, it combines vision-language models (VLMs), large language models (LLMs), and advanced computer vision to:

• Search across multiple live streams and recorded files instantly.
• Summarize video content with contextualized insights.
• Provide interactive Q&A about video footage.
• Deliver real-time alerts and notifications for critical events.
• Support audio-based cues for more comprehensive situational understanding.
• Offer REST APIs for easy integration into existing systems.

Previously, workloads of this scale were only practical in cloud environments. Now, thanks to Jetson Thor’s AI compute capacity, VSS can run at the edge. This means organizations can perform real-time, privacy-preserving video analytics without relying on internet connectivity—ideal for mission-critical applications in security, manufacturing, smart cities, and more.

Jetson Thor sits at the top of the Jetson family in terms of hardware capabilities.

• CPU: 14-core Arm Neoverse-V3AE processor for high-performance multitasking and real-time operations.
• GPU: NVIDIA’s next-generation Blackwell architecture GPU with 2,560 CUDA cores and 96 Tensor Cores, delivering massive AI compute performance.
• MIG (Multi-Instance GPU): Enables secure, isolated execution of multiple AI workloads by partitioning GPU resources in hardware.
• Specialized Accelerators: Includes a 3rd-gen Programmable Vision Accelerator (PVA), dual video encoders/decoders, and an optical flow accelerator to offload processing from CPU/GPU.
• Memory: 128 GB LPDDR5X RAM with a 256-bit interface and ~273 GB/s bandwidth—ideal for large AI models and high-resolution sensor data.
• Power: Configurable from 40 W to 130 W, supporting both low-power embedded use cases and full-performance operation.
• Connectivity:
  • QSFP slot with 4× 25 GbE high-bandwidth Ethernet for streaming data from multiple cameras or lidars.
  • Additional Multi-Gigabit Ethernet (RJ-45), multiple USB 3.2 ports, DisplayPort/HDMI outputs, and industrial interfaces like CAN/UART.

Jetson Thor runs on Ubuntu 24.04 LTS with the new JetPack 7.0 SDK, ensuring compatibility with NVIDIA’s latest AI software stack, including CUDA and TensorRT.

1. Autonomous Systems (Vehicles & Robots)
Processes LIDAR, camera, and radar data simultaneously to enable precise perception and safe decision-making. Humanoid robots and drones can perform real-time localization, SLAM, and obstacle detection with greater speed and accuracy.

2. Smart Cities & Security
Analyzes 24/7 video streams from city surveillance systems locally—without sending data to the cloud—for instant traffic management, crowd control, and threat detection. Supports real-time analysis of 4K/8K video feeds.

3. Industrial Automation
Enhances factory robotics, production line cameras, and inspection systems for defect detection, quality control, and predictive maintenance. Built for reliability in demanding industrial environments.

4. Healthcare Technologies
It powers AI-driven medical devices such as portable MRI and ultrasound systems to process images directly on-device for instant diagnostics. Surgical robots can benefit from real-time imaging and enhanced precision, while patient monitoring systems can safeguard privacy by keeping all data processing local.

Beyond these, Jetson Thor can power AI research labs, smart retail systems, agricultural automation, and much more—accelerating the shift toward smarter, faster, and more autonomous edge systems.

In summary: Jetson Thor brings supercomputer-class AI performance to the edge, making it possible to run previously cloud-only applications like Video Search and Summarization locally, in real time, and with full data privacy. This opens the door to faster, smarter, and more autonomous machines across every industry.