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As sensing, compute, and actuation spread across distributed architectures, moving that data with low latency and zero compromise on safety becomes a challenge. Evolving architectures need connectivity that spans the full stack, from sensor links to backbone networks, across every platform where physical AI operates.
Microcontroller (MCU)
Our MCU platform delivers low-latency, precision control across a wide range of vehicle systems. With automotive-grade safety and security, plus silicon-to-system support, it provides a dependable foundation automakers can confidently build on.
In-Vehicle Network (IVN)
Our IVN connectivity solutions enable high-speed data distribution and control transport over asymmetric links. They deliver scalable bandwidth for evolving vehicle architectures while meeting advanced safety and security requirements.
High-Performance Compute (HPC)
Our HPC products form the compute backbone for advanced driving and autonomy platforms. They support AI workloads, large-scale sensor fusion, and centralized decision-making across multiple vehicle lines and evolving software platforms.
Microcontroller (MCU)
Our MCU platform delivers low-latency, precision control across a wide range of vehicle systems. With automotive-grade safety and security, plus silicon-to-system support, it provides a dependable foundation automakers can confidently build on.
In-Vehicle Network (IVN)
Our IVN connectivity solutions enable high-speed data distribution and control transport over asymmetric links. They deliver scalable bandwidth for evolving vehicle architectures while meeting advanced safety and security requirements.
High-Performance Compute (HPC)
Our HPC products form the compute backbone for advanced driving and autonomy platforms. They support AI workloads, large-scale sensor fusion, and centralized decision-making across multiple vehicle lines and evolving software platforms.
Camera SerDes Pair
Connect
Bring awareness to the machine with high-bandwidth, low-latency links that unite sensing, compute, and control across the physical AI stack.
