Get the latest tech news
Arm is rebranding its system-on-a-chip product designs to showcase power savings for AI workloads, targeting a surprising sector
For engineers orchestrating AI pipelines across environments, the modularity and performance tiering within Arm’s new architecture...
While Arm hasn’t disclosed the EV manufacturer’s precise name yet, Badani told VentureBeat that it sees automotive as a major growth area in addition to AI model providers and cloud hyperscalers such as Google and Amazon. As model deployment timelines tighten and the bar for efficiency rises, having predefined compute systems like Neoverse or Lumex could reduce the overhead required to evaluate raw IP blocks and allow faster execution in iterative development cycles. With Arm aiming to offer consistent architecture across edge and cloud, security teams can more easily plan for and enforce end-to-end protections, especially when integrating AI workloads that demand both performance and strict access controls.
Or read this on Venture Beat