• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

New Arm Technologies Enable Safety-Capable Computing Solutions for an Autonomous Future

September 30, 2020 By admin Leave a Comment

New solutions offer a step change in compute for autonomous systems in automotive and industrial automation, which Arm believes will be an $8 billion silicon opportunity in 2030

Designed with safety first: Arm Cortex-A78AE is Arm’s highest performance CPU with safety, Arm Mali-G78AE is Arm’s first safety capable GPU, and Arm Mali-C71AE enables safety for vision use cases

The new IP enables solutions for autonomous applications, supported by the Arm ecosystem, software and tools, Safety Ready technology, System IP and Physical IP

Today, Arm unveiled new computing solutions to accelerate autonomous decision-making with safety capability across automotive and industrial applications. The new suite of IP includes the Arm® Cortex®-A78AE CPU, Arm Mali™-G78AE GPU, and Arm Mali-C71AE ISP, engineered to work together in combination with supporting software, tools and system IP to enable silicon providers and OEMs to design for autonomous workloads. These products will be deployed in a range of applications, from enabling more intelligence and configurability in smart manufacturing to enhancing ADAS and digital cockpit applications in automotive.

“Autonomy has the potential to improve every aspect of our lives, but only if built on a safe and secure computing foundation,” said Chet Babla, vice president, Automotive and IoT Line of Business at Arm. “As autonomous decision-making becomes more pervasive, Arm has designed a unique suite of technology that prioritizes safety while delivering highly scalable, power efficient compute to enable autonomous decision-making across new automotive and industrial opportunities.”

Cortex-A78AE: High performance in safety critical applications

The new Arm Cortex-A78AE CPU is Arm’s latest, highest performance safety capable CPU, offering the ability to run different, complex workloads for autonomous applications such as mobile robotics and driverless transportation. It delivers:

A 30% performance uplift compared to its predecessor.
Supports features to achieve the relevant automotive and industrial functional safety standards, ISO 26262 and IEC 61508 for applications up to ASIL D / SIL 3.
New enhanced Split Lock functionality (Hybrid Mode) to offer maximum flexibility. Hybrid Mode is designed to specifically enable applications that target lower levels of ASIL requirements without compromising performance and allow the deployment of the same SoC compute architecture into different domain controllers.
For more technical details on the Cortex-A78AE, visit our blog.

Mali-G78AE: Redefining safety for embedded GPUs, with flexible partitioning

Mali is the number one shipping GPU worldwide, and the new Mali-G78AE is Arm’s first GPU to be designed for safety, delivering rich user experiences and heterogenous compute to safety-critical autonomous applications. The new Mali-G78AE enables:

A new approach to autonomous GPU workloads with Flexible Partitioning, with up to four fully independent partitions for workload separation for safety use cases.
GPU resources can now be utilized for safety-enabled human machine interfaces or for the heterogenous compute needed in autonomous systems. For example, an infotainment system, an instrument cluster with ASIL B requirements and a driver monitoring system can now all run concurrently and independently with hardware separation within an automotive application.
For more technical details on the Mali-G78AE, visit our blog.

Mali-C71AE: An evolution in ISP safety

Autonomous workloads need to be aware of their surroundings, often through cameras that must operate in a wide range of lighting conditions. To support a broad range of vision applications across automotive and industrial, the Mali-C71AE offers:

The flexibility needed to support both human and machine vision applications such as production line monitoring and ADAS camera systems.
Enhanced safety features, supports features to achieve ASIL B / SIL2 safety capability.
Support for four real time cameras, or 16 buffered cameras, delivering a 1.2 giga pixel per second throughput.
For more technical details on the Arm Mali-C71AE, visit our blog.

Enabling the autonomous software ecosystem

As autonomous systems move towards more software-defined functionality, Arm is working to accelerate the development of software that will fully realize the benefits of these new technologies through initiatives such as Project Cassini, aimed at laying the foundation for the adoption of cloud native software paradigms across the entirety of edge computing. Arm is also working with multiple open source communities and specialist software vendors to widely enable the autonomous software ecosystem, adopting innovations from the established cloud native ecosystem, and collaboratively driving new development to support the features required for autonomous workloads.

Find out more about this at Arm DevSummit.

Supporting Partner Quotes

AImotive

“As a leader in AI-based automotive software, we are collaborating closely with Arm on software solutions for ADAS and autonomous driving. We are excited to see this next generation of Arm’s safety-engineered IP, helping deliver more deployable automated driving solutions and provide the foundational compute required for future automotive systems.” László Kishonti, CEO of AImotive.

KUKA

“The future of smart manufacturing requires innovative automation solutions with compute capabilities that support the safe, flexible and seamless operation of factories. The Arm architecture is already powering some of our key industrial solutions, and we see Arm’s new technologies as a positive step towards enabling the safety and further development of robotics needed for industrial operations to move closer to true autonomy.” Michael Wagner, director, Competence Center Control Technology at KUKA.

NVIDIA

“Powerful new processing capabilities are needed to enable future autonomous vehicles and machines. As a lead partner for the new Arm Cortex-A78AE, NVIDIA delivers the advanced performance and safety these edge AI systems require with our next-generation NVIDIA Orin SoC.” Gary Hicok, senior vice president of hardware development at NVIDIA.

Volkswagen Group

“The requirements for higher level of driver automation, electrification and immersive in-vehicle experiences are continually growing, and scalable, heterogenous, safe compute is critical in order to meet the requirements of future vehicle electronics systems. Innovation such as Arm’s new technologies and the extensive ecosystem that supports it will help to accelerate the deployment of next-generation vehicles.” Alexander Hitzinger, senior vice president for autonomous driving in the Volkswagen Group and CEO of Artemis.

About Arm
Arm technology is at the heart of a computing and data revolution that is transforming the way people live and businesses operate. Our advanced, energy-efficient processor designs have enabled intelligent computing in 180 billion chips and our technologies now securely power products from the sensor to the smartphone and the supercomputer. In combination with our IoT device, connectivity and data management platform, we are also enabling customers with powerful and actionable business insights that are generating new value from their connected devices and data. Together with 1,000+ technology partners we are at the forefront of designing, securing and managing all areas of compute from the chip to the cloud.

Filed Under: Tech

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • Dify Raises $30 Million to Power the Next Wave of Production AI Applications
  • Nscale’s $2 Billion Bet on the Physical Backbone of the AI Economy
  • Why USB-C Charging on the MacBook Neo Raises Questions About Port Durability
  • MagSafe Wireless Charging: The Magnetic Reinvention of Power
  • Apple Unveils MacBook Neo: A $599 Entry Into the Mac Ecosystem
  • Apple Unveils M5 Pro and M5 Max: A New Era for MacBook Pro, MacBook Air, and Studio Display
  • Apple iPhone 17e: Performance, Practicality, and a Smarter Entry Point into the iPhone 17 Family
  • Apple iPad Air M4 Arrives With 12GB Memory, Wi-Fi 7, and a Serious AI Push
  • Ericsson and Intel Are Redefining What 6G Is Actually For
  • Hollow-Core Fibre, Light Running Through Air Instead of Glass

Media Partners

  • Market Analysis
  • Cybersecurity Market
Memory Crunch: Why Prices Are Surging and Why Making More Memory Isn’t Easy
The End of Accounting as We Knew It
The Era of Superhuman Logistics Has Arrived: Building the First Autonomous Freight Network
Why Nvidia Shares Jumped on Meta, and Why the Market Cared
Accrual Launches With $75M to Push AI-Native Automation Into Core Accounting Workflows
Europe’s Digital Sovereignty Moment, or How Regulation Became a Competitive Handicap
Palantir Q4 2025: From Earnings Beat to Model Re-Rating
Baseten Raises $300M to Dominate the Inference Layer of AI, Valued at $5B
Nvidia’s China Problem Is Self-Inflicted, and Washington Should Stop Pretending Otherwise
USPS and the Theater of Control: How Government Freezes Failure in Place
Day Zero Threat Research Summit, August 30 – September 1, 2026, Las Vegas
CrowdStrike Returns to Profit as Revenue Climbs to $1.31 Billion in Q4
Cloudflare 2026 Threat Report Signals the Automation of Cyberwar
Fal.Con Gov 2026, March 18, Washington, D.C.
Huper Corporation Raises $1.5M Pre-Seed to Build a Security-First AI Chief of Staff
CyberBay Summit 2026, March 11–13, Tampa, Florida
Zscaler’s Q2 Beat and the Market’s Reluctance to Celebrate
AI as the New Insider: Why Trust, Not Code, Is Now the Weakest Link
Cybersecurity Meets Corporate Travel: Darktrace Chooses AI-Driven Navan to Power Global Mobility
Black Hat Asia 2026, April 21–24, Singapore

Media Partners

  • Market Research Media
  • Technology Conferences
The Rise of Faceless Creators: Picsart Launches Persona and Storyline for AI Character-Driven Content
Apple TV Arrives on The Roku Channel, Expanding the Streaming Platform Wars
Why Attraction-Grabbing Stations Win at Tech Events
Why Nvidia Let Go of Arm, and Why It Matters Now
When the Market Wants a Story, Not Numbers: Rethinking AMD’s Q4 Selloff
BBC and the Gaza War: How Disproportionate Attention Reshapes Reality
Parallel Museums: Why the Future of Art Might Be Copies, Not Originals
ClickHouse Series D, The $400M Bet That Data Infrastructure, Not Models, Will Decide the AI Era
AI Productivity Paradox: When Speed Eats Its Own Gain
Voice AI as Infrastructure: How Deepgram Signals a New Media Market Segment
COMPUTEX 2026, June 2–5, Taipei
360° Mobility Mega Shows 2026, April 14–17, Taipei
Forrester CX Summit Series 2026: Amsterdam, New York, San Francisco
IAMPHENOM 2026, March 10–12, Pennsylvania Convention Center, Philadelphia
Billington State and Local CyberSecurity Summit, March 9–11, 2026, Washington, D.C.
Mobile World Congress (MWC) 2026 – 2–5 March, Barcelona, Spain
The AI Summit London, 10–11 June 2026, Tobacco Dock, London
aim10x Digital 2026, March 18, Virtual
Harvard Business Review Strategy Summit, February 26, 2026, Virtual
International Compact Modeling Conference, July 30–31, 2026, Long Beach, California

Copyright © 2022 Technologies.org

Media Partners: Market Analysis & Market Research and Exclusive Domains, Photography