Feature #6: 4 takeaways from Arm’s 1st digital keynote at COMPUTEX 2021 feat. CEO Simon Segars
Arm’s keynote debate yesterday has been done in a simplistic yet informative fashion by its CEO Simon Segars. We managed to grab around 4 big topics regarding his presentation of utilizing technology as a force of good, especially in times the world needs help.
1. All new architecture: Armv9
The official debut of Arm’s latest architecture titled Armv9 is an investment and research project that the company and its partners have poured in a whole decade that stands as a major upgrade to the brand’s processor architecture. It is designed with a focus on security and compute efficiency on top of the core optimization targeting ubiquitous and AI systems.
2. Security vulnerabilities and Armv9’s answer to it
Security has always been a challenge since the beginning of the digital era and Arm is confident that Armv9 will be able to securely process data either at endpoints, data networks, or clouds to protect the interest of both industry partners and its clients. The Confidential Compute architecture in the Armv9 completely segregates memory regions for general and sensitive data or code to make sure only the appropriate security modules are allowed to process or carry these data but not view them.
3. Decarbonizing compute
Arm’s Neoverse V2 and Neoverse N2 is Arm’s key in decarbonizing the computing process to reduce energy consumption and CO2 emission with other leaders across the world utilizing Arm’s solution such as MediaTek, AAEON, Johnson Controls to deliver energy-efficient products.
4. Sparking the world’s potential for a better tomorrow by Arm
Arm’s vision in creating a better world through technology is supported by the company’s specialization in compute platform and ecosystem while NVIDIA’s superior AI prowess will consolidate into many innovative ideas where it will come to fruition and becoming practical for the world to apply and benefit from.
With the 1st keynote being well delivered in addressing the brand’s latest creation and its long-term mission into the future, Arm continues to look forward to bringing the world technological advancements for solving increasingly complex issues at a global scale.
The 2nd keynote by Arm has concluded yesterday and the President of Arm IP Products Group, Rene Haas has shared his ambitious view of the unprecedented acceleration of computing trends driven by the growing demands for ubiquitous intelligence across every device and the capabilities of Armv9 in making all of these a possibility.
He starts off the topic with Arm’s involvement in supplying the world with solutions based on the company’s design and in the near future, all digitally shared data will be securely processed, transmitted, and stored from the start until the finish line. Aside from recapping the Armv9’s major architecture and features from the 1st keynote, he also shared the new era of computing is approaching where AI and ML will be the key to every compute environment enabled by specialized processing in which Armv9 is designed to do so from the beginning where he used the flagship Cortex-X2 as an example that brings high CPU and GPU performance while raising the longevity of battery life, a next-generation improvement if you will.
Contributing to specialized processing also requires the software part to be optimized, dynamic, and richer than before. Therefore, Haas introduced the Total Compute solutions that span across tools, IPs, and applications that help partners to develop mature products from the more consumer TV, smartphones, and laptops down to industry use HPC, cloud computing, etc. He also elaborated on the recent announcement of NVIDIA’s Grace CPU that is fully dedicated to AI and ML usage alongside several HPC developer kits.
Lastly, Haas rounded up everything in a simple message: No devices should be left behind, even the smaller and cost-sensitive components can be made smarter and more capable to serve all data at the closest proximity and Armv9 is the key to unlocking the limitless potential of AI and ML.
