Amazon Offers Free Computing Power to AI Researchers, Aiming to Challenge Nvidia

(FILES) This picture taken on July 4, 2022 shows the logo of Amazon, a major online shopping company, displayed at Amazon Amagasaki Fulfillent Center in Amagasaki, Hyogo prefecture. (Photo by Kazuhiro NOGI / AFP)
(FILES) This picture taken on July 4, 2022 shows the logo of Amazon, a major online shopping company, displayed at Amazon Amagasaki Fulfillent Center in Amagasaki, Hyogo prefecture. (Photo by Kazuhiro NOGI / AFP)
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Amazon Offers Free Computing Power to AI Researchers, Aiming to Challenge Nvidia

(FILES) This picture taken on July 4, 2022 shows the logo of Amazon, a major online shopping company, displayed at Amazon Amagasaki Fulfillent Center in Amagasaki, Hyogo prefecture. (Photo by Kazuhiro NOGI / AFP)
(FILES) This picture taken on July 4, 2022 shows the logo of Amazon, a major online shopping company, displayed at Amazon Amagasaki Fulfillent Center in Amagasaki, Hyogo prefecture. (Photo by Kazuhiro NOGI / AFP)

Amazon.com's cloud computing unit on Tuesday said it will offer free computing power to researchers who want to use its custom artificial intelligence chips, aiming to challenge Nvidia's popularity among those researchers.

Amazon Web Services (AWS) said it will offer credits to use its cloud data centers that it values at $110 million to researchers who want to tap Trainium, its chip for developing artificial intelligence models that competes with chips from Nvidia, as well as Advanced Micro Devices and Alphabet's cloud division.

AWS said researchers from Carnegie Mellon University and the University of California, Berkeley, are taking part in the program. The company plans to make 40,000 of the first-generation Trainium chips available for the program, Reuters reported.

The move comes as AWS, still the largest cloud computing company by sales, has seen a sharp challenge from Microsoft as software developers look to harness new types of chips for AI work. AWS is hoping to gain attention for its own AI chips by taking a different strategy than Nvidia, said Gadi Hutt, who leads business development for the AI chips at AWS.

To program Nvidia's chips, most AI developers use what is called Cuda, Nvidia's flagship software, rather than programming the chip directly. AWS instead plans to publish documentation about the most fundamental part of its chip - what is called the instruction set architecture - and let customers program the chip directly.

Hutt said the approach is aimed at luring large customers who might want to make small tweaks that could add up to big gains when using tens of thousands of chips at a time.

"Think about folks that are using infrastructure and putting hundreds of millions of dollars, if not more" toward rented computing power, Hutt said. "They would take any opportunity possible to increase performance and reduce the cost."



KACST Manufactures 25 Advanced Electronic Chips by Saudi Talents

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
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KACST Manufactures 25 Advanced Electronic Chips by Saudi Talents

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)

Saudi Arabia’s King Abdulaziz City for Science and Technology (KACST) announced on Thursday its successful design and fabrication of 25 advanced electronic chips, developed by Saudi talents in its cleanroom laboratories for purposes of training, research, and development.

The achievement is part of KACST’s ongoing efforts to support and enable the semiconductor ecosystem in the Kingdom.

These chips are distinguished by their versatility and can be used in a range of applications, including electronics, wireless and high-frequency communications, integrated circuits, energy-efficient lighting, micro-sensor systems, as well as industrial and research applications in measurement and testing.

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. This effort was conducted under the initiatives of the Saudi Semiconductors Program (SSP), which aims to build national expertise in this critical field.

The chips can be used in a range of applications. (SPA)

This milestone is part of a series of strategic initiatives led by KACST to support the semiconductor sector in the Kingdom, including the Saudi Semiconductors Program to boost research and development and qualify human talent and the "Ignition" semiconductor incubator program to support startups and entrepreneurs.

Through these initiatives, KACST underscored its commitment to the ambitious goals of Saudi Vision 2030 by localizing strategic technologies, empowering national talent, and achieving technological self-sufficiency in advanced domains.