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Ayar Labs secures $155M in funding from top US chipmakers NVIDIA, AMD, Intel - report

EditorFrank DeMatteo
Published 12/12/2024, 12:04 am
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Ayar Labs Inc., a company that innovates in optical data transfer technology, has recently attracted substantial investment from leading US semiconductor companies, signaling a strategic move towards more efficient artificial intelligence (AI) processing, Bloomberg News reported. The San Jose-based startup announced a $155 million funding boost from Nvidia Corp . (NASDAQ:NVDA), AMD (NASDAQ:AMD) Ventures, and Intel (NASDAQ:INTC) Capital. This financial round was spearheaded by Advent Global Opportunities and Light Street Capital, propelling Ayar Labs' market value to surpass the $1 billion mark.

The company's technology is positioned as a solution to the growing demands of AI workloads, which are known for their intensive energy consumption and high costs. Ayar Labs aims to address the limitations of current hardware by using light, or photons, to expedite data transfers. This method could potentially alleviate the common issues faced in server systems, such as data bottlenecks, excessive power usage, and heat generation during operations.

Mark Wade, co-founder and CEO of Ayar Labs, emphasized the strain AI applications place on existing hardware, particularly in the area of interconnects, which link different parts of a computer system. "The AI workload is really breaking the back of the existing hardware infrastructure, especially in interconnects," Wade explained. By introducing photonics to replace traditional electrical interconnects, Ayar Labs is at the forefront of enhancing data transmission speeds and efficiency in AI processing.

The investment from Nvidia, AMD, and Intel reflects a significant endorsement of Ayar Labs' approach, as these companies are at the pinnacle of semiconductor design in the United States. Their collective backing underscores the industry's commitment to overcoming the technical challenges of AI and supporting innovations that promise to revolutionize data transfer methods.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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