Advantech, a specialist in industrial edge computing and AI methods, has 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 deliver real-time bodily AI on to the sting 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 Techniques Inspection Lab and has partnered with Fort Robotics 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 Techniques Inspection Lab, integrating practical security, cybersecurity, AI, and laws 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
parts from car and robotic structure to AI fashions. It includes HW and SW parts, instruments, fashions, and design ideas for combining them to safeguard AI-based, end-to-end AV and robotic stacks.
“Bodily AI deployments require greater than uncooked compute – they require built-in security and management,” stated Magic Pao, Affiliate Vice President at Advantech. “By collaborating with Fort Robotics and leveraging the Nvidia IGX Thor platform, we ship a unified basis that simplifies integration whereas assembly the very best requirements for efficiency and security.”
“Security should be foundational, not an afterthought,” stated Amod Damle, head of product at Fort. “By embedding practical security immediately into the sting AI platform, our collaboration with Advantech offers robotics builders the arrogance to scale in advanced, dynamic environments – unlocking protected, 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 FP TFLOPS for deterministic AI in safety-critical environments.
Advantech embeds practical security into its platforms to assist protected human-machine collaboration and leverages Nvidia Halos AI Techniques Inspection Lab to examine the implementation and integration of Nvidia IGX security necessities. The system incorporates each onboard and exterior sensor information 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 need to apply outside-in robotic practical security to their fleet, making certain that exterior security instructions are securely obtained and executed by the machine’s inside 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 clients to speed up purposes utilizing Nvidia NIM microservices, Nvidia Isaac’s open fashions, 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 gives an API for dynamic configuration adjustments, permitting builders to combine security administration immediately into their present enterprise methods.
Sensor synchronization and rugged connectivity
By integrating Nvidia Holoscan platform together with Holoscan Sensor Bridge applied sciences for real-time sensing, the MIC-735 allows high-bandwidth, synchronized communication between a number of sensors and AI processors.
The system ensures dependable operation from -30°C to +60 °C and gives high-speed connectivity together with 5G and SFP28 4×25 GbE. On the protection aspect, inputs are securely routed by means of the Fort Endpoint Controller (EPC), which interfaces with the embedded NSC Professional by way of 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 advanced terrain that require real-time, licensed E-Cease capabilities by way of safe radio or IP networks, using units 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 gives an entire 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 protected, real-time edge computing in robotics and autonomous methods.
Advantech to showcase at Nvidia GTC 2026
Advantech invitations world companions, builders, and innovators to discover its next-generation edge AI platforms at Nvidia GTC 2026, going down March 16-19 in San Jose, California. To be taught extra concerning the joint answer from Advantech and Fort Robotics, go to sales space #1134 to see protected industrial intelligence in motion.
