- First processors based on ARM DynamIQ technology take a big step towards boosting AI performance by more than 50x over the next 3-5 years delivers massive single-thread compute uplift for premium performance points
- ARM Cortex-A55 is the world’s most versatile high-efficiency processor
- ARM Mali-G72 GPU expands VR, gaming, and Machine Learning capabilities on premium mobile devices with 40% more performance
- New supporting IP includes ARM Compute Library, comprehensive suite of developer tools and POP IP
Artificial intelligence (AI) is already simplifying and transforming many of daily lives. Proofs of concept for potentially life-saving AI innovations can be seen every day. However, replicating the learning and decision-making functions of the human brain starts with algorithms that often require cloud-intensive compute power. Unfortunately, a cloud-centric approach is not an optimal long-term solution if we want to make the life-changing potential of AI ubiquitous and closer to the user for real-time inference and greater privacy. In fact, survey data we will share in the coming weeks shows 85 percent of global consumers are concerned about securing AI technology, a key indicator that more processing and storing of personal data on edge devices is needed to instill a greater sense of confidence in AI privacy.
“Enabling secure and ubiquitous AI is a fundamental guiding design principle for ARM considering our technologies currently reach 70 percent of the global population. As such, ARM has a responsibility to rearchitect the compute experience for AI and other human-like compute experiences, “said Nandan Nayampally, Vice President & General Manager, ARM Compute Product Group. “ To do this, we need to enable faster, more efficient, and secure distributed intelligence between computing at the edge of the network and into the cloud.”
ARM DynamIQ technology, which ARM initially previewed back in March, was the first milestone on the path to distributing intelligence from chip to cloud. Today ARM hits another key milestone, launching its first products based on DynamIQ technology, the ARM Cortex-A75 and Cortex-A55 processors. Both processors include:
- Dedicated instructions for AI performance tasks via DynamIQ technology, setting ARM on a trajectory to deliver 50x AI performance increases over the next 3-5 years
- Increased multi-core functionality and flexibility in a single compute cluster with DynamIQ big.LITTLE
- The secure foundation for billions of devices, ARM TrustZone technology, to fortify the SoC in edge devices
- Increased functional safety capabilities for ADAS and autonomous driving
Cortex-A75: Breakthrough single-threaded performance
It is exciting that a product delivers such a boost to single-threaded performance without compromising ARM’s efficiency leadership. The Cortex-A75 delivers a massive 50 percent uplift in performance and greater multicore capabilities, enabling ARM’s partners to address high-performance use cases including laptops, networking, and servers, all within a smartphone power profile. Additional performance data and a deep dive on technical features can be found in this blog from Stefan Rosinger.
Cortex-A55: The new industry-leader in high-efficiency processing
SoCs based on Cortex-A53 came to market in 2013 and since then ARM partners have shipped a staggering 1.5 billion units, and that volume is continuing to grow rapidly. That’s an extremely high bar for any follow-on product to surpass. But the Cortex-A55 is not a typical follow-on product. With dedicated AI instructions and up to 2.5x the performance-per-milliwatt efficiency relative to today’s Cortex-A53 based devices, the Cortex-A55 is the world’s most versatile high-efficiency processor. For more performance data and technical details, visit this blog from Govind Wathan.
Flexible big.LITTLE performance for more everyday devices
When distributing intelligence from the edge to the cloud, there are a diverse spectrum of compute needs to consider. DynamIQ big.LITTLE provides more multi-core flexibility across more tiers of performance and user experiences by enabling the configuration of big and LITTLE processors on a single compute cluster for the first time.
The flexibility of DynamIQ big.LITTLE is at the heart of the system-level approach distributed intelligence requires. The combination of flexible CPU clusters, GPU compute technology, dedicated accelerators, and the new ARM Compute Library work together to efficiently enhance and scale AI performance. The free, open-source ARM Compute Library is a collection of low-level software functions optimized for Cortex CPU and Mali GPU architectures. This is just the latest example of ARM’s commitment to investing more in software to get the most performance out of hardware without compromising efficiency. On the CPU alone, ARM Compute Library can boost performance of AI and ML workloads by 10x-15x on both new and existing ARM-based SoCs.
Mali-G72: Optimized for next-generation, real-world content
The ARM system-level approach enables innovation across multiple blocks of compute IP, including the GPU. The Mali-G72 GPU builds on the success of its predecessor, the Mali-G71. The Bifrost architecture enhancements boost the performance by up to 40 percent in the Mali-G72, enabling our partners to advance the mobile VR experience and push High Fidelity mobile gaming into the next realm. ARM has also designed the Mali-G72 to provide for the most efficient and performant ML thanks to arithmetic optimizations and increased caches, thus reducing bandwidth for a 17 percent ML efficiency gain.
With 25 percent higher energy efficiency, 20 percent better performance density, and the new machine learning optimizations, Mali-G72 can distribute intelligence more efficiently across the SoC. To read additional technical details on the Mali-G72, visit this blog by Freddi Jeffries.
Distributed intelligence starts here
Today ARM has announced the next generation of CPU and GPU IP engines designed to power the most advanced compute. A full suite of compute, media, display, security and system IP designed and validated together to deliver the highest-performing and most efficient mobile compute experience. This suite of IP is supported by a range of new System Guidance for Mobile (SGM-775) which includes everything from SoC architecture to detailed pre-silicon analysis documentation, models, and software – all available for free to ARM partners. For accelerated time-to-market and optimized implementations to ensure highest performance and efficency, ARM POP IP is available for Cortex-A75.
Leading software ecosystem, from edge to cloud
Software is central to future highly-efficient and secure distributed intelligence. The ARM ecosystem is uniquely positioned to deliver the breadth of disruptive software innovation required to kickstart the AI revolution. To further support the latest CPU and GPU IP, ARM is also releasing a complete software development environment. ARM’s ecosystem now has the opportunity to develop software optimized for DynamIQ ahead of hardware availability through a combination of ARM virtual prototypes and DS-5 Development Studio.
As ARM prepares to work with its partners to ship 100 billion chips over the next five years, ARM is more agile than ever in enabling its ecosystem to guide the transformation from a physical computing world into a more natural computing world that’s always-on, intuitive and of course, intelligent. Today’s launch puts us one step closer to ARM’s vision of Total Computing and transforming intelligent solutions everywhere compute happens.
ARM technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate. From the unmissable to the invisible, our advanced, energy-efficient processor designs are enabling the intelligence in 100 billion silicon chips and securely powering products from the sensor to the smartphone to the supercomputer. With more than 1,000 technology partners, including the world’s most famous business and consumer brands, we are driving ARM innovation into all areas compute is happening inside the chip, the network and the cloud.
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