Advantech introduced the growth of its Edge AI portfolio with the upcoming launch of the MIC-735 powered by NVIDIA IGX T5000 module. Constructed on NVIDIA IGX Thor platform, this industrial-grade system is designed to carry real-time bodily AI on to the Edge by combining high-speed sensor processing, enterprise-grade reliability, and practical security.
To satisfy the rigorous calls for of mission-critical environments, Advantech participates within the NVIDIA Halos AI Programs Inspection Lab and has partnered with FORT Robotics (FORT) to seamlessly combine their embedded security structure. NVIDIA is the primary firm on the earth to determine an ANSI Nationwide Accreditation Board (ANAB)-accredited AI Programs Inspection Lab, integrating practical security, cybersecurity, AI, and rules right into a unified security framework. This collaboration ensures that robotic and AMR purposes can function with deterministic efficiency and SIL-certified reliable management.
NVIDIA Halos is a full-stack complete security system for bodily AI that unifies security components from car and robotic structure to AI fashions. It contains HW and SW components, instruments, fashions, and design ideas for combining them to safeguard AI-based, end-to-end AV and robotic stacks.
“Physical AI deployments require more than raw compute – they require integrated safety and control,” mentioned Magic Pao, Affiliate Vice President at Advantech. “By collaborating with FORT Robotics and leveraging the NVIDIA IGX Thor platform, we deliver a unified foundation that simplifies integration while meeting the highest standards for performance and safety.”
“Safety must be foundational, not an afterthought,” mentioned Amod Damle, Head of Product at FORT. “By embedding practical security immediately into the Edge AI platform, our collaboration with Advantech provides robotics builders the arrogance to scale in complicated, dynamic environments – unlocking secure, productive operation throughout quite a lot of purposes.
Unprecedented Edge AI Computing with NVIDIA IGX Thor
The MIC-735 is a production-ready Edge AI inference system delivering as much as 2,070 FP4 TFLOPS for deterministic AI in safety-critical environments. Advantech embeds practical security into its platforms to assist secure human-machine collaboration and leverages NVIDIA Halos AI Programs Inspection Lab to examine the implementation and integration of NVIDIA IGX security necessities. The system incorporates each onboard and exterior sensor knowledge to reinforce security ideas and produce bodily AI from idea to deployment.
Built-in practical security structure
The MIC-735 is constructed on NVIDIA IGX Thor strong reference design with built-in practical security. It additionally helps direct integration with the FORT Nano Security Controller Professional (NSC Professional). This embedded management and security receiver allows ecosystem companions who wish to apply outside-in robotic practical security to their fleet, making certain that exterior security instructions are securely acquired and executed by the machine’s inner structure to mitigate dangers in real-time.
The MIC-735 additionally helps a 10-year lifecycle and NVIDIA AI Enterprise-IGX software program stack, enabling prospects to speed up purposes utilizing NVIDIA NIM microservices, NVIDIA Isaac’s openmodels, libraries, and frameworks for robotics, NVIDIA Metropolis for imaginative and prescient AI, and NVIDIA Holoscan for real-time sensor processing. For practical security administration, the FORT ecosystem offers an API for dynamic configuration adjustments, permitting builders to combine security administration immediately into their current enterprise programs.
Sensor synchronisation & rugged connectivity
By integrating NVIDIA Holoscan platform together with Holoscan Sensor Bridge applied sciences for real-time sensing, the MIC-735 allows high-bandwidth, synchronised communication between a number of sensors and AI processors. The system ensures dependable operation from –30 °C to +60 °C and provides high-speed connectivity together with 5G and SFP28 4×25 GbE. On the security facet, inputs are securely routed by the FORT Endpoint Controller (EPC), which interfaces with the embedded NSC Professional through particular protocol.
Designed for real-world robotics deployment
Constructed for deployment at scale in real-world situations, the MIC-735 mixed with FORT expertise is good for robotic and AMR purposes. It’s particularly designed for environments navigating complicated terrain that require real-time, licensed E-Cease capabilities through safe radio or IP networks, utilising gadgets just like the Endpoint Controller to ship fleet-wide instructions, or the Protected Distant-Management Professional and Wi-fi E-Cease Professional for native management or command of single AMRs as wanted.
By combining NVIDIA AI infrastructure with FORT Robotics’ compact security footprint, Advantech offers a whole basis with an extended lifecycle that considerably reduces time-to-market and integration complexity for bodily AI deployments. The MIC-735 unifies rugged industrial design, NVIDIA IGX Thor efficiency, and built-in practical security in a single, deployment-ready system. Collectively, these capabilities set up a brand new benchmark for secure, real-time Edge computing in robotics and autonomous programs.
Advantech to showcase at NVIDIA GTC 2026
Advantech invitations international companions, builders, and innovators to discover its next-generation edge AI platforms at NVIDIA GTC 2026, happening 16–19 March in San Jose, California. To be taught extra concerning the joint resolution from Advantech and FORT Robotics, go to sales space #1134 to see secure industrial intelligence in motion.
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