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Automotive High Performance Compute

Automotive High Performance Compute is accelerating the autonomous vehicle development leveraging seamlessly interoperable and automotive-grade solutions to maximize safety.    The data generated by the Increasing numbers of sensors, such as cameras, radars and lidars and V2X communications, needs to be processed (or fused together) to perceive the environment around the vehicle more accurately and reliably, to enable better and safer decisions.

Automotive High Performance Compute

Automotive High Performance Compute (HPC) refers to the advanced computing systems and architectures used in the automotive industry to power various applications, particularly in the domain of autonomous driving and advanced driver assistance systems (ADAS). Automotive HPC systems are designed to handle the massive computational requirements of processing sensor data, running complex algorithms, and making real-time decisions in highly demanding automotive environments. 

Automotive High Performance Compute

Automotive High Performance Compute systems play a vital role in enabling advanced autonomous driving and ADAS functionalities. They provide the computational power, real-time processing capabilities, and functional safety required for vehicles to perceive their environment accurately, make intelligent decisions, and navigate safely. As technology progresses, automotive HPC systems continue to advance, paving the way for more sophisticated and capable autonomous vehicles.

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