Intel Spins Off Enterprise Generative AI Deployment Firm Articul8

Intel and the global investment firm DigitalBridge Group have formed an independent generative AI software stack company, Articul8 AI, Inc.; Intel announced the new company on Jan. 3.
Articul8 will work with Intel and provide solutions for organizations that wish to build and deploy generative AI. Articul8's product and capabilities.
SEE: Here's what the EU's AI Act establishes for the generative AI industry.
Articul8's software runs on Intel Xeon Scalable processors and Intel Gaudi accelerators, but it can work on other infrastructure as well.
In service of providing flexibility for enterprise users, Articul8 can work with Intel, AWS, Google Cloud, Microsoft Azure and NVIDIA. Articul8 is following in the footsteps of today's enterprise AI trends by offering on-prem deployment and by making sure its AI capabilities keep company data, customer data, training and inference within an enterprise security perimeter.
It is designed for organizations with high levels of security and specialized domain knowledge.
Articul8 was spun out of Intel and uses IP and technology developed there.
The CEO of Articul8 is Arun Subramaniyan, who formerly served as vice president and general manager in Intel's Data Center and AI Group.
The two companies will work hand-in-hand and collaborate while operating independently.
Intel funded Articul8, as did DigitalBridge Ventures and other venture investors.
The project that would become Articul8 has been incubating for two years at Intel and was used at Boston Consulting Group, Rich Lesser, global chair of Boston Consulting Group, said in a press release.
Other companies working on providing full-stack generative AI development and deployment capabilities for enterprise include Intel, IBM, HPE, AWS, Dell, Databricks and Google.
As more and more enterprises seek use cases for generative AI, more gen AI providers are working on creating a full-stack service that offers enterprise-level security as opposed to the more commercial, publicly-trained models and use cases.


This Cyber News was published on www.techrepublic.com. Publication date: Thu, 04 Jan 2024 19:13:05 +0000


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