Advantech Launches MIC-743 AI Computing System

Advantech Launches MIC-743 AI Computing System

Advantech, a global leader in edge computing and intelligent systems, is excited to announce the launch of the MIC-743, its latest AI computing system powered by the NVIDIA Jetson Thor. The MIC-743 is designed to bring server-grade AI performance to the edge and is now available for deployment in high-performance applications such as video language model (VLM) and large language models (LLMs).

Unleashing High-Performance Edge AI for VLM and LLM

Equipped with the NVIDIA Jetson Thor module, Jetson T5000, the MIC-743 delivers up to 2,070 FP4 TFLOPs of AI performance, enabling real-time inferencing for complex edge applications. With 2560 CUDA cores and 96 Tensor cores, the MIC-743 provides massive processing power for AI workloads like deep learning and computer vision. The 128 GB LPDDR5X memory ensures sufficient bandwidth and capacity to handle large AI models, including VLM and LLM inferencing, without bottlenecks.

These features allow the MIC-743 to run multi-modal AI tasks simultaneously, supporting video language model (VLM), large language models, and intelligent video analytics at the edge.

Experience MIC-743 Today

With its compact, industrial-grade design and rich I/O connectivity, the MIC-743 is ideal for deployment in diverse environments such as factories, research labs, and development centers. It also enables seamless integration with various sensors, cameras, and peripheral devices to quickly build complete AI solutions. This flexibility allows developers and system integrators to accelerate their projects, reduce deployment time, and unlock new possibilities in intelligent edge applications.

We invite customers and partners to explore the full potential of the MIC-743 and see how it can empower your AI at the edge. Visit us at Taipei Automation 2025, from August 20 to 23, where Advantech will showcase diverse and flexible AI solutions, including the MIC-743, powering edge vision-language models (VLM) and providing a stable foundation for various front-end applications.