Lattice Semiconductor announced its membership in the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. The announcement occurred at NVIDIA GTC 2026. Lattice will collaborate with NVIDIA and other Halos ecosystem members to develop Halos-certified designs based on the Holoscan Sensor Bridge for physical AI applications and to contribute to evolving industry best practices.
NVIDIA Halos is a full-stack safety system for physical AI that unifies safety elements across vehicle and robotics architectures and their underlying AI models. It incorporates hardware and software components, tools, models, and design principles to safeguard end-to-end AI-based autonomous vehicle and robotics stacks.
NVIDIA Holoscan Sensor Bridge is a hardware-accelerated, low-latency sensor-over-Ethernet technology designed to support scalable physical AI systems.
Lattice contributes its expertise in low-power, flexible FPGA solutions to the Holoscan Sensor Bridge ecosystem, supporting the development of scalable real-world physical AI systems that require integrated safety, efficiency, determinism, and low latency at the edge.
Raemin Wang, Vice President of Segment Marketing at Lattice Semiconductor, stated that physical AI is transitioning from controlled environments to real-world deployment, where safety, reliability, and trust are critical. Lattice aims to apply its low-power FPGA technology and solution stacks to enable scalable, trusted physical AI systems in robotics, industrial automation, and autonomous applications.
Additional details on Lattice’s Holoscan Sensor Bridge solutions are available on the Lattice website.
