Advantech and FORT Robotics Collaborate to Advance Safe Physical AI on MIC-735
Why It Matters
By fusing certified safety with high‑performance edge AI, the MIC‑735 reduces integration risk and accelerates deployment of reliable, autonomous robots in mission‑critical sectors.
Key Takeaways
- •MIC-735 delivers 2,070 FP TFLOPS for real-time AI.
- •Integrated functional safety meets SIL certification standards.
- •Supports 5G, 4×25 GbE, and -30 °C to +60 °C.
- •FORT Nano Safety Controller Pro enables secure external safety commands.
- •10‑year lifecycle simplifies long‑term robotics deployments.
Pulse Analysis
Edge AI is rapidly moving from data‑center prototypes to on‑premise, mission‑critical applications, but safety has remained a bottleneck. The MIC‑735 tackles this gap by marrying NVIDIA’s IGX Thor compute engine with a rigorously inspected safety framework from the NVIDIA Halos AI Systems Inspection Lab. This combination offers deterministic inference performance while satisfying functional safety, cybersecurity, and regulatory requirements in a single, pre‑certified package, dramatically cutting the engineering effort needed for compliant deployments.
The hardware architecture integrates the IGX T5000 module, delivering 2,070 FP TFLOPS, and pairs it with FORT Robotics’ Nano Safety Controller Pro. Real‑time sensor synchronization is enabled through NVIDIA Holoscan’s Sensor Bridge, while high‑bandwidth links such as 5G and 4 × 25 GbE ensure low‑latency data flow across distributed robot fleets. The system’s rugged design operates from –30 °C to +60 °C and includes a decade‑long product lifecycle, positioning it as a durable foundation for autonomous mobile robots, warehouse automation, and field robotics.
For the broader market, this collaboration signals a shift toward standardized, safety‑first edge AI platforms. Developers can now leverage NVIDIA’s AI Enterprise‑IGX stack, including Isaac, Metropolis, and NIM micro‑services, without retrofitting separate safety modules. The unified solution promises faster time‑to‑value, lower total cost of ownership, and greater confidence for enterprises adopting AI‑driven automation. Advantech’s showcase at NVIDIA GTC 2026 will give industry leaders a hands‑on view of how these capabilities translate into scalable, secure robotics deployments.
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