The convergence of 5G and AI at the edge has the potential to transform the world just as railroads and the internet did in earlier transformations.
5G development and deployment are accelerating, especially in Asia. Field trials are underway, components are coming, and testing covers the spectrum in more ways than one. What are the challenges and how is the ecosystem shaping up? Find out more in this month’s In Focus series.
The convergence of 5G and AI at the edge has the potential to transform the world just as railroads and the internet did in earlier transformations. Intelligent devices and edge data centers featuring orders of magnitude leaps in bandwidth, latency, and the number of connections will pave the way to AI applications that deliver immersive experiences, industrial automation, and other services we cannot yet imagine. It will be a world swimming in bandwidth and AI compute.
And customers are responding. 5G will account for over 3.5 billion subscriptions by 2026 accounting for 40% of all mobile subscriptions, according to the latest Ericsson Mobility Report, while some large companies are experimenting with 5G to manage office space in a post-COVID world.
AI workloads dominate the datacenter today. Multiple verticals like manufacturing, retail, healthcare are reaping significant benefits already.
For example, in manufacturing, AI is being used to control machines, predict glitches in supply chains, detect defects and automate quality assessment. 5G enabled smart factory of the future will be a fully connected experience: connectivity will improve safety and quality while reducing the problem of unplanned downtime.
Hear from experts from Qualcomm, Rohde & Schwarz, Keysight Technologies, Movandi, EdgeQ, Infineon, and SPIL, who will share their insights and strategies—from the test and measurement, to semiconductor design and packaging, all the way to deployment and new applications and services—to stay ahead of this rapidly growing mobile technology.
To realize the promise of 5G/AI convergence, it helps to look at some of the key technology requirements:
Arm and NVIDIA are natural partners to realize the promise and convergence of 5G and AI. We have a shared vision, as well as complementary technology stacks, and a long-term roadmap that enables a hyper-converged infrastructure with 5G network building blocks and AI applications in highly integrated edge datacenter SOC.
NVIDIA and Arm plan to onboard vRAN software providers to add enterprise and carrier-grade solutions for stack, edge, and core networks.
For 5G to succeed, we need to get the underlying technology right. The highly dynamic market makes stringent demands on compute power efficiency, scalability, and software ease of use. Arm and NVIDIA are excited to collaborate in bringing AI on 5G convergence. To learn more about Arm Neoverse platform, please watch the on-demand talk. For more information, please visit Arm 5G infrastructure solutions page.