Arm has announced a new processor, Arm Automotive Enhanced (AE), and a development system, Arm CSS for Automotivee, that claims to shorten the development cycle of AI-enabled autonomous vehicles by up to two years.
🟦Announcing New Technology to Shorten the Development of Arm AI-Enabled Autonomous Vehicles by 2 Years
Arm has announced the Arm Automotive Enhanced (AE) processor and the Arm Compute Subsystem for Automotive, a development system for autonomous vehicles. It claims that these technologies can shorten the development cycle of AI-enabled vehicles by up to two years.
Arm Automotive Enhanced(AE)
The new Arm Automotive Enhanced (AE) processor is equipped with the Neoverse V3AE, an automotive model of the Neoverse series of processor cores for data centers based on the Armv9 architecture. This improves the following features:
🟦 A development system that revolutionizes chip design
The Arm CSS for Automotive development system makes chip design more convenient and accessible by providing pre-integrated and validated designs. Compared to the traditional development process, it has the following advantages:
- Reduced development time:
- In the past, after the delivery of the IP, silicon development, prototyping, and software development proceeded in stages, and it took 1~2 years to complete. Arm CSS for Automotive uses a pre-integrated design that allows software development to begin before the chip is complete.
- Reduced development costs:
- The traditional development process takes a lot of time and money, from the design stage to the software development stage. By using a pre-validated design, the amount of work in the design phase can be significantly reduced.
- Faster time to market:
- Reduced development time and cost enable customized SoCs to be brought to market.
🟦Summary
Arm has announced a new processor, Arm Automotive Enhanced (AE), and a development system, Arm CSS for Automotivee, that claims to shorten the development cycle of AI-enabled autonomous vehicles by up to two years.
ARM has developed IP and development environments for general-purpose computing of processors for autonomous vehicles. In order for chipmakers to remain competitive, it is important to have a differentiation strategy, not just improve performance.
