Sunday, July 21, 2024

Sustainable AI innovation as AWS leads real-world applications

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Companies have moved beyond merely exploring AI; they are deploying it in practical applications, moving from testing phases to full-scale production. This rapid shift has placed sustainable AI at the forefront of innovation and transformation.

This shift is not just about the technology itself, but about building an infrastructure that supports the next generation of AI-powered solutions. As sustainability and efficient resource management become more critical, Amazon Web Services Inc. and other industry leaders are setting ambitious clean energy goals. Integrating diverse tools and expanding partner ecosystems are key, enabling companies to maximize the potential of AI while ensuring flexibility and security.

John Furrier, Executive Analyst at theCUBE Research, and Rob Strechay, Managing Director and Principal Analyst at theCUBE Research, discuss AWS and Sustainable AI at AWS Summit NY 2024.

TheCUBE on the set of AWS Summit New York.

“I think budget always jumps out before things like sustainability, and others really tie in because people are definitely concerned about the sustainability of GPUs and all that,” said Rob Strechay (pictured, left), managing director and principal analyst at theCUBE Research. “I think they’ll think, ‘Hey, if I’m going to train my model or tune it, I want to do it at scale and drive costs down. ’ But then when I want to deploy it, I’ll do inference to the edge because milliseconds or microseconds really count.”

Strechay spoke with John Furrier (right), executive analyst at theCUBE Research, at AWS Summit New York during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AWS’s strategies focused on sustainable AI, innovation in AI deployment through services like Bedrock and Q, and the company’s commitment to clean energy and strong partner ecosystems.

AI Advances with Bedrock and Q: Simplifying Deployment and Integration

AI remains a major focus for AWS. Amazon Bedrock and Q, two AI-related services that are being enhanced with more models and partner integrations, are just two examples of the company’s efforts in this area. Bedrock aims to simplify AI model deployment, while Q makes it easier to seamlessly integrate and use data for business and development applications.

“Integration and building distributed computing environments is what everyone talks about, but no one covers,” Furrier said. “I think the partner program is a secret weapon for AWS right now. I think they reorganized the Marketplace with the Amazon Partner Network, which is a competitive differentiator … an advantage for Amazon.”

AWS’s overall strategy revolves around returning to its “day one” philosophy, which focuses on relentless innovation and agility. This approach, championed by leaders like Andy Jassy and Jeff Bezos, aims to maintain a startup-like mentality even as the company grows, according to Furrier.

“The AI ​​generation feels like a day, a moment for them,” he said. “With Matt Garman as the new CEO… you start to see the vibe changing. I can tell you right now that I could see significant changes.”

Sustainable AI: AWS’s strategy for continued growth

Sustainability is another area where AWS has made significant progress, especially in the area of ​​sustainable AI. The company has achieved its goal of reaching 100% clean energy by 2023, seven years ahead of schedule. This achievement sets Amazon apart from competitors like Google LLC, which has struggled with its carbon footprint. By prioritizing sustainability, AWS not only improves its corporate responsibility but also strengthens its position in the market as a leader in green technology.

“When you start to understand… where agents are headed and how they look to the future and where AI is going, I think what Amazon has set itself up really well to do is maybe not go after a market per se like they used to,” Strechay said.

Looking ahead, AWS is poised to leverage generative AI to revolutionize computing and network storage. AI applications are expected to drive significant changes in infrastructure, creating new opportunities for data management and resource allocation. As AI continues to evolve, AWS aims to be the “Switzerland of AI,” providing a neutral and secure platform for diverse AI applications.

“What’s really interesting is that AWS has all the parts to be the Switzerland of AI,” Strechay said. “When you start to look at how they put it together, I think there’s work to be done. When you start to look at how all these different services were born, how they came into being, and how they come to market, I think there’s a lot of work to be done to really make it the easy button for organizations with AI.”

Here’s the full video interview, part of SiliconANGLE and theCUBE Research’s coverage of the AWS Summit in New York:

Photo by: SiliconANGLE

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