Advantech Unveils a New AI Brain Platform Powered by NVIDIA Jetson T4000 to Scale the Next Era of Physical Intelligence

Advantech, Taipei, Taiwan, 06.01.2026 - Advantech, a global leader in industrial edge computing, today announced the expansion of its edge AI portfolio powered by NVIDIA Jetson T4000. Designed to serve as the intelligent core for next-generation autonomous systems, this new portfolio brings data-center-class generative AI performance, real-time sensor fusion, and industrial-grade reliability to the edge, enabling the next era of Physical Intelligence.

As autonomous robots and intelligent machines evolve beyond single-task automation, they increasingly require local AI systems capable of perception, reasoning, planning, and decision-making in real time. Advantech defines a new category of scalable AI platforms, one that functions as the AI brain for physical systems operating in dynamic, real-world environments.

From Edge Computing to Physical Intelligence

Advantech has long supported industrial digitalization through robust edge computing platforms. With the emergence of generative AI and large multimodal models, the company is now extending this foundation toward Physical Intelligence, where AI must directly interact with the physical world.

By integrating NVIDIA Jetson T4000, Advantech’s platforms powered by NVIDIA Jetson Thor enable autonomous systems to execute complex, multi-modal AI workloads locally. This approach reduces latency, improves responsiveness, and unlocks new levels of autonomy for robotics and intelligent machines—capabilities that are increasingly critical for Physical Intelligence applications.

A Scalable Approach to AI Brains at the Edge

Rather than delivering a single product, Advantech is building a scalable portfolio of AI brain platforms based on NVIDIA Jetson T4000 module. This portfolio-based strategy allows customers to adopt the same AI architecture across different stages of development and deployment, while selecting the form factor that best fits their application requirements.

Within this portfolio, Advantech offers multiple product categories, including board-level platforms for development and customization, as well as system-level platforms optimized for industrial deployment. This scalable approach enables a smooth transition from prototyping to production while maintaining architectural consistency.

MIB Series: Board-Level Flexibility for Robotics and Autonomous Systems 

The MIB-741-AT and MIB-742-AT are board-level AI brain, delivering up to 1,200 TFLOPS FP4 AI performance for real-time perception, generative AI inference, and closed-loop control in humanoid robots, mobile manipulator robots (MMRs), and industrial autonomous systems. 

MIB-741-AT supports 2× 1 GbE + 2× 10 GbE Ethernet for multi-device robotics architectures, and 1× 25 Gb SFP28 for high-throughput sensor aggregation and industrial backhaul, and 8ch GMSL2 cameras.

MIB-742-AT supports 1× 5 GbE and 4× 25 GbE SFP28 for high-throughput sensor aggregation and industrial backhaul, 4 x CAN FD for robot control and 8ch GMSL2 cameras for video capture. 

MIB series both support Holoscan Sensor Bridge over 10 GbE enables synchronized, high-bandwidth sensor ingestion with system-level latency below 100 ms, while support for industrial-grade sensor switches with PTP-based time synchronization ensures coherent multi-sensor fusion. For safety-critical robotics environments, isolated CAN bus interfaces protect the AI compute domain from actuator-induced noise and faults. Combined with NVIDIA JetPack, NVIDIA CUDA, NVIDIA TensorRT, and NVIDIA Holoscan, the MIB series delivers deterministic, domain-focused AI pipelines that accelerate deployment of industrial-grade robotic AI.

Industry-Focused AI Solutions

Built on NVIDIA Jetson T4000, Advantech delivers purpose-built AI solutions tailored to the specific requirements of robotics, medical, and data-driven edge environments.

Robotics: AFE-A702 and ASR-A702

The AFE-A702 robotic control system and ASR-A702 board deliver up to 1200 TFLOPS of native AI performance for humanoid robots, AMRs, and unmanned vehicles. Supporting GPU-accelerated SLAM, multi-camera GMSL connectivity, 2D/3D sensors, and IMUs, they enable real-time AI reasoning and inference. Combined with Advantech Robotic Suite, NVIDIA Isaac ROS, NVIDIA Isaac Sim, and NVIDIA Holoscan, these platforms ensure rapid deployment, ultra-low latency, and reliable operation for mission-critical robotics applications.

Medical: AIMB-294 and EPC-T5294

Powered by NVIDIA Jetson T4000 and advanced SDKs such as NVIDIA Holoscan and NVIDIA MONAI, Advantech’s next-generation Medical AI board AIMB-294 and Medical AI system EPC-T5294 enable real-time sensor processing, image analysis, and AI streaming pipelines. Optimized for 3D imaging and surgical robotics, they deliver ultra-low latency and high precision to support operating rooms, clinical workflows, and intelligent diagnostic systems.

Edge LLM and VLM: AIR-075

The AIR-075 (Edge AI System) provides powerful edge computing with dual 10GbE and GMSL interfaces to meet data-intensive AI requirements in traffic management and industrial applications. Powered by NVIDIA AI technologies – including NVIDIA Metropolis, NVIDIA Triton, NVIDIA Blueprint for video search and summarization, and NVIDIA Cosmos Reason – and integrated with Advantech Edge AI SDK and DeviceOn, it enables sensor fusion, multi-model inference, visual AI agents, and centralized device management for real-time, predictive edge intelligence. 

Together, AIR-075 provide scalable edge AI solutions that balance deployment efficiency, data throughput, and advanced AI reasoning for next-generation edge intelligence applications.

Enabling the Next Generation of Autonomous Systems

Powered by NVIDIA Jetson T4000, the Advantech edge AI platform delivers unprecedented AI inference capability at the edge, enabling autonomous systems to run advanced generative and multimodal AI models locally. Combined with high-bandwidth sensor interfaces and industrial connectivity, Advantech edge AI platform support real-time perception, synchronized sensor processing, and low-latency decision making, key requirements for applications such as autonomous mobile robots (AMRs), humanoid robots, inspection robots, and intelligent vehicles.

Building an Ecosystem for Physical Intelligence

Beyond hardware, Advantech is committed to building a broader Physical Intelligence ecosystem in collaboration with AI technology partners, sensor vendors, and robotics innovators. Through a portfolio of NVIDIA Jetson T4000–based platforms, Advantech aims to help customers move faster from concept to deployment and accelerate the adoption of intelligent autonomous systems worldwide.