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Explosive Report Reveals Bid to Dethrone Nvidia from AI Supremacy

Nvidia opens a new tab that has earned its $2.2 billion market cap through artificial intelligence chips that have become the lifeblood of powering a new era of generative AI developers from startups to Microsoft, another tab Opens, OpenAI and Google parent Directory, opens a new tab.

Almost essential to this hardware is the computer code that the company has developed for nearly 20 years, helping to make it nearly impossible to compete with the company. More than 4 million global developers rely on Nvidia’s CUDA software platform to develop AI and other apps.

Now a combination of tech companies including Qualcomm (QCOM.O), a new tab, Google, and Intel opens a new tab system to go after the chip giant's secret weapon and loosen the Nvidia chokehold: software that holds developers and Nvidia chips trapped. They are part of an expanding group of funders and companies that are tapping into Nvidia's dominance in AI.

"We're teaching developers how to migrate from the Nvidia platform," Vinesh Sukumar, head of AI and machine learning at Qualcomm, said in an interview with Reuters.

If we start with a technology developed by Intel, and open another tab called OneAPI, the UXL Foundation, tech companies, plan to develop software and tools that can power a wide variety of AI They told him. The open-source project aims to make computer code work on any device, regardless of the chip and hardware that powers it.

"It's about in terms of machine learning frameworks how we create an open ecosystem, and encourage productivity and choice in hardware," said Bill Magro, Google's founder and chief engineer of high-performance computing, told Reuters in an interview with him. Google is one of the founders of UXL and helps provide technical direction for the project, Magro said.

NEARLY 100 STARTUPS

The UXL technical steering committee is preparing to nail down the technical specifications in the first half of this year. Engineers plan to clean up the technical issues to a "mature" state by the end of the year, officials said. These executives emphasized the need to include contributions from multiple companies and build a solid foundation that can be used on any chip or hardware.

Officials connected to the group told Reuters that the Foundation, a network of technology companies, plans to develop a range of software tools that can power more AI accelerator chips.

The open-source project aims to make computer code run on any device, regardless of the chips and hardware that power it. "This is specifically in a machine learning framework - how we build an open ecosystem, performance, and choice. Let's promote it through hardware," Bill Hugo, a Google director and chief engineer of high-performance computing, told Reuters in an interview.

Google is one of UXL’s founding members and helps set the project’s technical direction, Hugo said. UXL’s technical steering committee is poised to create technical specifications in the first half of this year.

Conclusion: The revelation of this conspiracy marks a pivotal moment in the evolution of the AI industry. As the story unfolds, the tech world watches with bated breath as this high-stakes battle will reshape the future of AI. One thing is clear: the race to dominate this important technological frontier is far from over, and it’s anyone’s game.