industry news
Subscribe Now

Arm announces new automotive technologies to accelerate development of AI-enabled vehicles by up to two years

News highlights:

  • New safety-enabled Arm Automotive Enhanced (AE) processors will bring leading-edge Armv9 and server-class performance to AI-driven use cases
  • Future Arm Compute Subsystems (CSS) for Automotive will further reduce development time and cost, providing maximum flexibility for high-performance automotive systems
  • For the first time, the Arm ecosystem can develop software on virtual prototyping solutions for the automotive market ahead of physical silicon being available, accelerating development cycles by up to two years

The automotive market is going through an unprecedented transformation with demand for more autonomy, increasingly advanced user experiences and the trend toward electrification creating an explosion of software and AI. Vehicle electronics are becoming more complex and to deliver at pace, a fundamental rethink of product development is needed. Today, in a series of industry firsts, Arm and our ecosystem are unveiling the latest Arm Automotive Enhanced (AE) processors alongside new virtual platforms, all made available to the industry from day one to accelerate automotive development cycles by up to two years.

Next-generation AE processors bring Armv9 and server-class performance to automotive for the first time

For the first time, we are bringing Armv9-based technologies to automotive, enabling the industry to take advantage of the AI, security and virtualization capabilities that this latest generation of the Arm architecture delivers. To meet the growing performance demands of today’s vehicles, we are leveraging our leadership in the infrastructure market by bringing server-class Neoverse technology to automotive, along with new Armv9-based Cortex-A products for scalability. The full line-up of products we’re announcing today includes:

  • Arm Neoverse V3AE: Bringing Neoverse technology to the automotive sector for the first time, delivering server-class performance for AI-accelerated autonomous and ADAS workloads
  • Arm’s first v9-based Cortex-A processors purpose-built for automotive:
    • Arm Cortex-A720AE: Delivering industry-leading sustained performance with SoC design flexibility for a broad range of software-defined vehicle (SDV) applications
  • Arm Cortex-A520AE: Providing leading power efficiency with functional safety features to scale across automotive use cases
  • Arm Cortex-R82AE: The highest-ever performing real-time processor for functional safety which delivers 64-bit computing to real-time processing for the very first time
  • Arm Mali-C720AE: A configurable ISP optimized for the most demanding computer and human vision use cases
  • A range of configurable system IP to enable the Arm silicon ecosystem to deliver scalable, high-performance automotive SoCs

Read more about this new technology, which is already being adopted by leading players, including Marvell, MediaTek, NVIDIA, NXP, Renesas, Telechips, Texas Instruments, and others, in this blog post.

The road ahead: Arm Compute Subsystems (CSS) for Automotive

We are not stopping there. Looking ahead, we see that systems are only going to get more complex, the need for safety will become even greater, and we’ll need to bring all of these compute components together for our partners, standardizing for consistency where it matters. Arm CSS for Automotive will deliver pre-integrated and validated configurations of Arm AE IP optimized for performance, power, and area using a leading-edge foundry process. Our first CSS for automotive is expected to be delivered in 2025.

Virtual prototypes will enable ecosystem to leverage Arm AE IP for software development ahead of silicon

Traditional automotive development cycles are linear: First processor IP is delivered, then silicon development begins, and only when hardware becomes available around two years later, can software developers start. Today we’re changing that with a new approach: virtual prototyping on industry-leading, latest-generation Arm AE IP, which allows software developers to start before the physical silicon is available. We’re partnering with industry leaders including Amazon Web Services (AWS), Cadence, Corellium, Siemens and others to deliver these virtual platforms and cloud solutions, which allow for earlier, more seamless development across the full software stack in collaboration with partners including Autoware Foundation, BlackBerry QNX, Elektrobit, Kernkonzept, LeddarTech, Mapbox, Sensory, Tata Technologies, TIER IV, Vector and more. Read more about the new virtual platforms here, and more about our collaborations at the foundational and application software layer here.

Today’s announcement marks a critical step in enabling the automotive ecosystem by unlocking new opportunities for developers and accelerating time to market for leading OEMs, automotive Tier 1 suppliers, silicon partners, and software providers that are all building the future of software-defined vehicles, on Arm.

About Arm

Arm is building the future of computing. Our energy-efficient processor designs and software platforms have enabled advanced computing in more than 280 billion chips and our technologies securely power products from the sensor to the smartphone and the supercomputer. Together with 1,000+ technology partners, we are enabling artificial intelligence to work everywhere, and in cybersecurity, we are delivering the foundation for trust in the digital world – from chip to cloud. The future is being built on Arm.

Leave a Reply

featured blogs
May 8, 2024
Learn how artificial intelligence of things (AIoT) applications at the edge rely on TSMC's N12e manufacturing processes and specialized semiconductor IP.The post How Synopsys IP and TSMC’s N12e Process are Driving AIoT appeared first on Chip Design....
May 2, 2024
I'm envisioning what one of these pieces would look like on the wall of my office. It would look awesome!...

featured video

Why Wiwynn Energy-Optimized Data Center IT Solutions Use Cadence Optimality Explorer

Sponsored by Cadence Design Systems

In the AI era, as the signal-data rate increases, the signal integrity challenges in server designs also increase. Wiwynn provides hyperscale data centers with innovative cloud IT infrastructure, bringing the best total cost of ownership (TCO), energy, and energy-itemized IT solutions from the cloud to the edge.

Learn more about how Wiwynn is developing a new methodology for PCB designs with Cadence’s Optimality Intelligent System Explorer and Clarity 3D Solver.

featured paper

Achieve Greater Design Flexibility and Reduce Costs with Chiplets

Sponsored by Keysight

Chiplets are a new way to build a system-on-chips (SoCs) to improve yields and reduce costs. It partitions the chip into discrete elements and connects them with a standardized interface, enabling designers to meet performance, efficiency, power, size, and cost challenges in the 5 / 6G, artificial intelligence (AI), and virtual reality (VR) era. This white paper will discuss the shift to chiplet adoption and Keysight EDA's implementation of the communication standard (UCIe) into the Keysight Advanced Design System (ADS).

Dive into the technical details – download now.

featured chalk talk

Peak Power Introduction and Solutions
Sponsored by Mouser Electronics and MEAN WELL
In this episode of Chalk Talk, Amelia Dalton and Karim Bheiry from MEAN WELL explore why motors and capacitors need peak current during startup, the parameters to keep in mind when choosing your next power supply for these kind of designs, and the specific applications where MEAN WELL’s enclosed power supplies with peak power would bring the most benefit.
Jan 22, 2024
17,122 views