Conventional AI applications frequently require local devices to transmit data to a centralized cloud server for analysis and processing. Although this methodology exhibits efficacy across various scenarios, it's not without its constraints, encompassing latency, bandwidth consumption, and privacy and security considerations. Relocating AI processing near the location where the data is generated–otherwise known as the "bringing AI to the edge" approach–resolves these concerns through the execution of computations locally on the device or in close proximity to the data source.
www.eetimes.com/, Nov. 21, 2023 –
In an interview with EE Times, Axelera AI co-founder and CEO Fabrizio Del Maffeo noted recent industry milestones the company achieved, as well as the appointment of a former Arm executive to Axelera's board of directors.
Axelera's mission
Axelera's mission is to democratize access to industry-leading edge AI products. To achieve this, the company is focused on three key pillars:
In just two years since its founding, Axelera's growth trajectory has been fast. Through its early-access program, the company garnered 850 leads and is actively engaging with over 150 companies–a dozen of which are already working to integrate this solution.