What are the key challenges and target markets?
The digitalization of our society is rapidly progressing, and many industries are changing dramatically due to the ongoing adoption of information and communication technologies and their integration with operation technologies building the next generation intelligent control platforms in various application domains. We can also witness a convergence of (distributed) data and communications in these platforms due to the need to integrate and analyze information for building smarter applications in emerging Smart Cities and the Internet of Things.
New processor generations, cheaper mass storage and seamless broadband connectivity as well as the ongoing virtualization of networks and services enable the development of new system architectures and applications, in which among others particularly edge computing and high performance computing are key enabling technologies. Examples of industry sectors include manufacturing, energy, automotive, aerospace, logistics, utilities, healthcare, as well as sciences.
Why are we doing this?
Coincidently, business models are changing and new, more complex, value chains are emerging in which global standards and open ecosystems based on consent and technology knowhow are becoming important enablers for realizing efficient, competitive and innovative solutions to address future challenges. In the past specific chip manufactures have created to a large extent vendor-centric ecosystems, which have partially led to technological limitations and strong business dependencies. With technology based on the Arm instruction set architecture being broadly accessible, the founding members of the Initiative believe that there is the need for creating a feature-rich ecosystem and developing solutions according to and tailored at the needs of industrial and scientific users. Therefore, the main mission of this Initiative is to make the Arm®-based technology well suited for different IT segments including but not limited to edge computing as well as High Performance Computing (HPC), High Performance Data Analytics (HPDA), Artificial Intelligence (AI).
Rationale for the initial focus on edge and HPC
Addressing future challenges requires scaling to extreme performance levels by means of HPC solutions as well as bringing compute closer to data sources, i.e. enabling computing at the edge. New opportunities will arise from bringing both together, e.g. for the realization of digital twins or enabling of smart cities. While both technologies domains have been identified by the founding members of the Initiative as crucial, the Initiative welcomes other domains.