AMD to Buy Open-Source AI Software Pro Nod.ai
AMD announces signing of an agreement to acquire Nod.ai to expand the company’s open AI software capabilities.
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October 13, 2023
AMD is planning to invest heavily in the software necessary for the company's advanced artificial intelligence chips.
The addition of Nod.ai will bring a team that has developed a software technology that accelerates deployment of AI solutions optimized for AMD Instinct data centre accelerators, Ryzen AI processors, EPYC processors, Versal systems on chips and Radeon graphics processing units to AMD.
The agreement aligns with AMD’s AI growth strategy, which is centered on an open software ecosystem that lowers the barriers of entry for customers through developer tools, libraries and models.
“The acquisition of Nod.ai is expected to significantly enhance our ability to provide AI customers with open software that allows them to easily deploy highly performant AI models tuned for AMD hardware,” says Vamsi Boppana, senior vice president, Artificial Intelligence Group at AMD. “The addition of the talented Nod.ai team accelerates our ability to advance open-source compiler technology and enable portable, high-performance AI solutions across the AMD product portfolio. Nod.ai’s technologies are already widely deployed in the cloud, at the edge and across a broad range of end point devices today.”
“At Nod.ai, we are a team of engineers focused on problem solving in an industry of constant change,” says Anush Elangovan, co-founder and CEO, Nod.ai. “Our journey as a company has cemented our role as the primary maintainer and major contributor to some of the world's most important AI repositories, including SHARK, Torch-MLIR and OpenXLA/IREE code generation technology. By joining forces with AMD, we will bring this expertise to a broader range of customers on a global scale.”
Nod.ai delivers optimized AI solutions to hyperscalers, enterprises and startups. The compiler-based automation software capabilities of Nod.ai’s SHARK software reduce the need for manual optimization and the time required to deploy highly performant AI models to run across a broad portfolio of data centre, edge and client platforms powered by AMD CDNA, XDNA, RDNA and “Zen” architectures.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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