Accenture Plc Tuesday announced the launch of the Accenture AI Refinery framework, developed on Nvidia Corp.’s new AI Foundry service. The offering, designed to enable clients to build custom large language models using Llama 3.1 models, enables enterprises to refine and personalize these models with their own data and processes to create domain-specific generative AI solutions.

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Nvidia works with Accenture to pioneer custom Llama large language models

The artificial intelligence industry is filled with big vendors and upstarts, and Amazon Web Services Inc.’s AWS Summit in New York City earlier this months provided Amazon the platform to make its claim as the leader in AI. To do that, the company put Matt Wood (pictured), vice president of AI products at AWS, in the keynote spot.

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Five thoughts from Matt Wood’s keynote at AWS Summit New York

There has been plenty of hype and ballyhoo around artificial intelligence and networking, but much of the vendor focus has been AI for networking, where AI is used to improve network operations. The other side of the AI coin is networking for AI, where a network must be designed and provisioned to support an AI implementation. Though many businesses will likely deploy AI in the cloud, making the supporting network the problem of the hyperscaler, 58% of respondents to a recent ZK Research/theCube Research study stated they have deployed or will be deploying AI in their own private data center.

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Juniper Networks unveils Ops4AI Lab and designs to help customers fast-track AI deployments

Amazon Web Services Inc. today announced an update on its commitment to responsible generative artificial intelligence at its annual Summit in New York. Before the summit, which is being covered by theCUBE, SiliconANGLE’s livestreaming studio, I spoke with two AWS team members — Diya Wynn, responsible AI lead, and Anubhav Mishra, principal product manager for Guardrails for Amazon Bedrock.

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Amazon updates its commitment to responsible use of generative AI

Few things move faster than the high-tech race cars traveling the Indianapolis Motor Speedway oval. In May, American Josef Newgarden won his second consecutive Indy 500 with an average speed of 167.763 miles per hour. But Newgarden’s car may not have been the fastest thing at the old Brickyard on Memorial Day. That honor may belong to all the data flying around that day on the IMS’s millimeter-wave 5G nodes.

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Merging auto racing and high-tech data enables a faster ride for everyone