Intel, Google, and Qualcomm will 'dethrone' Nvidia with new programming platforms.

Nvidia, the graphics chip manufacturer with a market capitalization of $2.2 trillion, has become the lifeblood of synthetic artificial intelligence (AI) models. Besides hardware, the company's strength also comes from its computer code, developed over nearly 20 years, making it a formidable competitor. Currently, more than 3 million programmers worldwide rely on the CUDA platform to build AI and other applications.

Originating from a technology developed by Intel, known as OneAPI, a group of technology companies – the UXL Foundation – has planned to build a new software suite and tools capable of programming various types of AI chips. This open-source project aims to bring computer code that can run on devices with any chip and hardware.

Nvidia's influence in the AI field is immense.

“The challenge is how to create an open ecosystem in the field of machine learning that can boost performance and be compatible with a wide variety of hardware,” said Bill Hugo, director of Google’s high-performance computing unit. The search giant is a founding member of UXL and provides technical guidance for the project.

Reuters reports that in the first half of this year, UXL will prepare to define the basic specifications before handing them over to engineers for refinement and completion later in the year.

This technology alliance also doesn't rule out the possibility of adding members such as cloud giant Amazon, Microsoft, and other chip manufacturers. Since its founding in September 2023, UXL has received technical contributions from third parties, in addition to its institutional members, and those interested in using open technology.

Intel's OneAPI is ready for use. The next step is for experts to create a standard programming model specifically for AI. In the long term, UXL will also support Nvidia's hardware and code.

The UXL Foundation's project is one of many efforts to break Nvidia's dominance in AI-powered programming software. According to data analytics firm PitchBook, venture capitalists and businesses have poured more than $4 billion into 93 separate projects.

The interest in beating Nvidia through the software link has been gaining attention since last year. The graphics company has cast such a large shadow that few startups can make a breakthrough, as CUDA is theoretically a compelling, feature-rich software that is constantly being developed by Nvidia and the programming community.

“The important thing is that people have been using CUDA for over 15 years and using this platform to build other programming code,” commented Jay Goldberg, CEO of financial and strategic consulting firm D2D Advisory.

The Viet (Source: Reuters)

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