Intel Corp.’s vision to empower developers and make artificial intelligence accessible everywhere underscores the company’s pivotal role in shaping the AI landscape.

Touting a focus on sustainability and innovation, Intel looks to help AI go mainstream efficiently and ethically. As AI continues to evolve, Intel is looking to bridge the gap between AI’s potential and its practical implementation, according to Stephan Gillich (pictured), director of AI and technical computing at Intel.

“If you go back and look the at the role AI is playing more and more in the industry and our personal lives, it’s really going everywhere,” he said. “At Intel, we want to bring the technology and the solutions to those places where AI is used successfully. We want to help those people who are creating AI solutions to manage that journey and plot a path for them with the hardware and software stacks.”

Gillich spoke with theCUBE industry analysts Rob Strechay and Rebecca Knight at the HPE Discover Barcelona event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Intel’s mission to empower developers to bring AI everywhere, the significance of sustainability and the evolving landscape of AI hardware and software. (* Disclosure below.)

Intel’s AI vision: Bridging data and deployment for ubiquitous AI integration

Intel’s marketing tagline, “Empowering developers to bring AI everywhere,” sets the stage for its vision. AI is no longer confined to specific domains; it’s permeating every facet of our lives, according to Gillich. From the data center to personal devices, AI is omnipresent, and Intel aims to provide the technology and solutions needed to harness its potential effectively.

“We need to provide computing platforms which can run all of these tasks and at the right place,” Gillich said.

The adoption of AI follows a similar trajectory worldwide. It all begins with identifying a specific use case that AI can enhance. Regardless of the region, this exploration of AI applications is a common starting point. There are three crucial phases in AI development, according to Gillich.

“The first phase is the data phase,” he said. “The middle phase is the modeling phase, where you actually select the AI models, the neural networks and train them. Then there’s the deployment phase, which is obviously the most interesting phase for those people who want to get the value out of it.”

Sustainability and responsible AI

As AI adoption grows, energy consumption becomes a pressing concern. Intel’s approach involves optimizing hardware and software to enhance energy efficiency. This optimization ensures that the right hardware is used for the right tasks, reducing unnecessary energy consumption. Additionally, Intel focuses on developing smaller AI models tailored to specific tasks, further improving efficiency, according to Gillich.

“Coming back to the AI everywhere, have the right hardware with a common software stack, which optimally runs the hardware, the software,” he said. “You don’t have to have a really big solution for just the smaller task.”

Data center sustainability was also touched upon, with an emphasis on efficient cooling and energy reuse. Intel has collaborated with data centers that lead in cooling infrastructure and energy conservation, which further highlights Intel’s commitment to sustainability, Gillich pointed out.

“We have a number of collaborations or data centers where our products are used, which are really leading in terms of their cooling infrastructure, reusage of energy and other things,” he said. “We are trying to put our technology everywhere there as well.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the HPE Discover Barcelona event:

(* Disclosure: TheCUBE is a paid media partner for the HPE Discover Barcelona event. Neither Hewlett Packard Enterprise Co., the main sponsors of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE