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Articles by IoT Line
Choosing the Right Arm Edge AI Solution for Your AI application
With the launch of Cortex-A320, Arm’s smallest implementation of the Armv9-A architecture, developers now have even more options for processing IoT edge AI workloads. But with so many choices, how do you determine the right processor for your specific AI application? As a system developer, you need to navigate that decision by comparing Cortex-A, Cortex-M, and Ethos-U NPU-based devices—along with their potential combinations.
Introducing Cortex-A320: Ultra-efficient Armv9 CPU Optimized for IoT
In today’s evolving IoT landscape, where software complexity continues to increase, edge devices require more performance, efficiency, and security than ever. The Arm Cortex-A portfolio meets this demand by bringing advancedcomputing capabilities to power-constrained devices, delivering enhanced AI processing, robust security and optimized efficiency across diverse markets.
Embracing the Future with Cortex-A320: A Deep Dive into the General Armv9 Architecture Adoption
The introduction of the Arm Cortex-A320 CPU marks an important milestone: It’s the first ultra-efficient implementation of the Armv9 architecture. This groundbreaking CPU brings advanced capabilities previously reserved for leading-edge mobile computing solutions to power-constrained devices, delivering significant improvements in AI processing, security and overall efficiency. Sounds good so far.
Arm Virtual Hardware and Remote.It: Simple remote access to virtual devices to scale the IoT
Billions of connected Internet of Things (IoT) devices are expected to come online in the next few years, but that massive scaling comes with complexity. As IoT development becomes more widespread, developers are demanding powerful and reliable tools, such as virtual hardware prototyping, to help them create and deploy their applications. Deploying solutions based on standardized, readily available hardware has dramatically simplified the development of distributed and IoT solutions.
Arm continues to accelerate IoT software development with new partnerships
By Paul Williamson, SVP and GM, IoT Line of Business, Arm November 07, 2022 -- A year ago we unveiled Arm Virtual Hardware, a cloud-based offering that delivers virtual models of Arm subsystems and third-party development boards to allow software developers, OEMs and service providers to begin software development earlier than ever before.
Arm continues to accelerate IoT software development with new partnerships
By Paul Williamson, SVP and GM, IoT Line of Business, Arm News highlights: Arm development tools integrated into GitHub Actions enabling faster time to market for IoT and embedded developers Qeexo and Nota AI integrate Arm Virtual Hardware for better accessibility and ease-of-deployment of ML workloads A year ago we unveiled Arm Virtual Hardware, a cloud-based offering that delivers virtual models of Arm subsystems and third-party development boards to allow software developers, OEMs and...
Arm, Cruise and the driverless road ahead
By Dipti Vachani, SVP and GM, Automotive and IoT Line of Business, Arm July 20, 2022 -- In my role leading the automotive and IoT business here at Arm, it goes without saying that my team and I spend a lot of time discussing, debating and exploring the topic of autonomous technology, including of course driverless cars.
Arm introduces new automotive image signal processor to advance adoption of driver assistance and automation technologies
By Chet Babla, VP of automotive, Automotive and IoT Line of Business, Arm February 18, 2022 -- Advanced Driver Assist Systems (ADAS) have grown from a premium vehicle feature to a capability consumers now expect as standard in new vehicles. In parallel, the global chip shortage is making it clear to the automotive industry the criticality of silicon and electronics to the development and competitive positioning of its products.
Arm introduces new automotive image signal processor to advance adoption of driver assistance and automation technologies
By Chet Babla, VP of automotive, Automotive and IoT Line of Business, Arm News highlights: Arm adds Mali-C78AE image signal processor (ISP) to its “AE” line of safety-capable IP suitable for ADAS and human vision applications Mali-C78AE combined with Cortex-A78AE CPU and Mali-G78AE GPU provides optimal ADAS vision pipeline Mobileye is first to license Mali-C78AE, in addition to Mali-G78AE, for its next-generation EyeQ technology Advanced Driver Assist Systems (ADAS) have grown from a premium...
Powering next-generation in-vehicle experiences with Arm Mali GPU virtualization
By Chet Babla, vice president of automotive, Automotive & IoT Line of Business June 18, 2020 -- Based on my conversations with automakers and tier-one automotive suppliers, it’s clear there are increasing demands from consumers for a smartphone-like experience in their vehicles. In fact, despite the current economic climate, the demand to deliver new innovations and to power more displays inside the vehicle, from mirror replacement to head-up displays, remains unchanged.
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