Improving the Role of CPUs and Sharing memory... Intel and SK Hynix Present Solutions to AI 'Inference Bottlenecks'

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“Securing enough graphics processing units (GPUs) to drive artificial intelligence (AI) is not enough. A balance with the central processing unit (CPU) is necessary to coordinate, manage, and execute AI.” Anil Nanduri (Anil Nanduri), Intel Data Center AI Product and Market Entry (GTM) Strategy Vice President, said this at the '2026 Intel AI Summit Seoul' held at COEX in Gangnam-gu, Seoul on the 12th

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SK Hynix presented a shared memory architecture developed with Intel and other partners, which would allow multiple servers to access a common pool of resources. In internal testing, the company reported a drop from 80.76 to 15.45 seconds in average time until the first token.

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[NEWSIS] On the morning of the 12th, the "Intel AI (Artificial Intelligence) Summit Seoul 2026" was held at the COEX Auditorium in Samseong-dong, Gangnam-gu, Seoul, and attendees were seen looking around at the AI technology exhibition booths.

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[Digital Daily, Reporter Go Seong-hyeon] Intel is targeting the artificial intelligence (AI) inference market with the next-generation graphics processing unit (GPU) 'Crescent Island'. The idea is to respond to enterprise AI demand through GPUs with large memory and high power efficiency, and reduce infrastructure operating costs by combining Xeon CPUs with external AI accelerators. In a keynote address at the 'Intel AI Summit' held at COEX in S…