Share this article on:
Intel has announced that it is forming a new artificial intelligence firm that will further its AI endeavours, including its own new generative AI – Articul8.
The new company is being formed with support from a number of investors, including the DigitalBridge Group.
Outside of saying that Intel would be maintaining a majority share of the new company and that there would be an independent board of directors to pilot it, Intel remained tight-lipped regarding the new firm.
Intel’s Articul8 AI (pronounced Articulate) is at the core of the new firm, which goes by the same name. The new AI was built using Intel’s own supercomputers and is capable of reading images and text.
Articul8 builds upon AI endeavours first explored by Intel as part of its development of corporate AI tech alongside Boston Consulting Group (BCG).
“With its deep AI and HPC domain knowledge and enterprise-grade GenAI deployments, Articul8 is well positioned to deliver tangible business outcomes for Intel and our broader ecosystem of customers and partners,” wrote Intel chief executive Pat Gelsinger.
“As Intel accelerates AI everywhere, we look forward to our continued collaboration with Articul8.”
DigitalBridge CEO Marc Ganzi added: “Every global enterprise today is challenged to integrate GenAI capabilities into their workflows. Articul8 has built a scalable and easy-to-deploy GenAI software platform that is already enabling enterprises to unlock value from their proprietary data.
“We see GenAI as a pivotal force driving digital infrastructure, and we are pleased to collaborate with Intel to support Articul8’s growth.”
Heading the new company is former vice-president and general manager of Intel’s data centre and AI group, Arun Subramaniyan.
Subramaniyan has said that the new AI technology did raise concerns with customers, with some wary about supplying large amounts of data to cloud computing companies, while others were worried about the expenses the new technology may generate.
“We’ve been really trying to address the biggest gap in generative AI today, which is that building a proof of concept is easy, but getting things into production and doing it safely and in a cost-sustainable way is really what is missing,” said Subramaniyan in an interview seen by Reuters.