Intel CEO Patrick Gelsinger speaks during the Intel Taipei Technology Innovation Forum in Taipei, Taiwan, Tuesday, November 7, 2023. Intel last month forecast a return to sales growth in the fourth quarter, boosted by sales growth. Improved PC market and more competitive production line. Photographer: Ai Hua Cheng/Bloomberg via Getty Images
I Huaqing | Bloomberg | Getty Images
American chip maker Intel Corporation On Tuesday, it announced new artificial intelligence chips for data centers, as it looks to take on competitors Nvidia And AMD Which showed chips coming in the last two days.
The Intel Xeon 6 processor will provide better performance and power efficiency for high-density data center workloads than its predecessor, CEO Pat Gelsinger said during the Computex technology conference in Taiwan.
The announcement comes as rivals Nvidia and AMD launched new AI chips on Sunday and Monday, respectively, as they compete for leadership in the booming industry.
It also comes six months after Intel launched its fifth-generation Intel Xeon processors for data center workloads and two months after announcing the Gaudi 3 processor for training and deploying AI models.
Intel also revealed on Tuesday that prices for its Gaudi 2 and Gaudi 3 AI accelerators are lower than competing chips.
“Customers are looking for high-performance, cost-effective solutions for AI training and inference. They are starting to turn to alternatives like Gaudi. They want choice. They want open software and hardware solutions and time to market solutions at a significantly lower TCO (total cost of ownership) “Gelsinger said.
Intel also revealed architectural details for its upcoming Lunar Lake processors to “further grow the AI PC category.” The Lunar Lake chips, expected to ship in the third quarter, will compete with Nvidia and AMD chips designed specifically for personal computers with artificial intelligence.
Intel is trying to catch up with Nvidia and AMD, having been largely on the sidelines of the AI craze that has seen tech giants like Meta, Microsoft and Google buy up as many Nvidia chips as they can.
