Why High-Performance Computing (HPC) Is Critical to Autonomous Vehicle Development

Safety is critical for Self-Driving cars and autonomous vehicles.
Tracking objects, pedestrians, and other vehicles is job 1 for self-driving cars. Methods such as high-definition maps, path planning, and SLAM drive these capabilities. Computer vision, RADAR/LIDAR, and similar technologies support these methods. 

As computer vision technology advances and its applications expand, the global computer vision market has become increasingly attractive and promising.

《7StarLake Forum》Discover Rugged GPGPU at DSEI with 7StarLake

AI-Based Computing for Situational Awareness

The objective of this forum is to invite professionals, scholars, engineers, and industry representatives to collectively explore the future development trends and application prospects of high performance computing and AI workloads, share the latest technological achievements and application cases, and discuss challenges and solutions in related fields.

 Join 7StarLake Self-driving Drives the Future Forum at embedded world 2023

Automobiles today are much more than just a means of transportation.Along with other devices, they are leveraging human-computer interaction (HCI) to become mini-centers of communication, information, and entertainment. But these automotive systems generate and process a tremendous amount of data.

Smart transportation is gradually realized

According to the survey report of P&S Intelligence, an international research organization, the global AI transportation market reached 1.4 billion US dollars in 2017, and it is predicted that it will grow to 2.3 billion US dollars in 2023, with a compound growth rate of 16.5% from 2018 to 2023.

 5G Fueling the Growth of AIoT

The rapid changes by technology, industries and societal patterns and process, all of these give the credit to increasing interconnectivity and smart automation. With 5G low-latency and high speed characteristics, the AI-based applications could react nearly real-time to the data that generated by 5G network. Therefore, 5G plus AIoT enables the digital transformation in transportation, smart city, and smart factory, etc. 

Build the AI infrastructure for a future of autonomous driving

The infrastructure to train, test and validate the AI powering the vehicle will become increasingly important. Investment in autonomous vehicle (AV) development will continue to grow dramatically, especially in AI infrastructure.

More applications today need high performance computing

According to Gartner, only 10% enterprise-generated data was created and processed outside of traditional centralized data centers or clouds in 2018. 
But by 2025, Gartner expects that figure to reach 50% as computing power becomes more decentralized and Industry 4.0 projects proliferate.

Autonomous vehicles are transforming the way we live, work, and play—creating safer and more efficient roads. These revolutionary benefits require massive computational horsepower and large-scale production software expertise.

The global transformation is rapidly scaling the demands for flexible computer, networking, and storage. Future workloads will necessitate infrastructures that can seamlessly scale to support immediate responsiveness and widely diverse performance requirements.