Intel kills off Falcon Shores AI chip, moves to 'rack-scale solution' with Jaguar Shores

Intel says its new Falcon Shores AI accelerator won't see the light of day, shifts its focus into next-gen Jaguar Shores 'rack-scale' solutions.

Intel kills off Falcon Shores AI chip, moves to 'rack-scale solution' with Jaguar Shores
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TL;DR: Intel has canceled its Falcon Shores AI accelerator, redirecting focus to the Jaguar Shores as a complete rack-scale solution. This shift aims to address customer needs for cost-effective and efficient computing. Falcon Shores will serve as an internal test chip, reflecting lessons learned from the Gaudi AI accelerator.

Intel has nixxed its upcoming Falcon Shores AI accelerator, shifting its efforts into the next-generation Jaguar Shores as a complete rack-scale solution in its attempt to make a mark on the AI industry.

Intel kills off Falcon Shores AI chip, moves to 'rack-scale solution' with Jaguar Shores 38
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Intel co-CEO Michelle Johnston Holthaus has explained that the company has stopped development on Falcon Shores, shifting its focus into its next-gen Jaguar Shores generation. Until now, we were expecting the Falcon Shores XPU on TSMC's newer 3nm process node and CoWoS-R advanced packaging, with a huge 1500W TDP.

Intel told CRN: "Many of you heard me temper expectations on Falcon Shores last month. Based on industry feedback, we have decided to leverage Falcon Shores as an internal test chip".

"More broadly, as I think about our AI opportunity, my focus is on the problems our customers are trying to solve, most notably lower the cost and increase the efficiency of compute. One of the things that we've learned from Gaudi is it's not enough to just deliver the silicon. We need to be able to deliver a complete rack-scale solution, and that's what we're going to be able to be able to do with Jaguar Shores".

Intel knows it can't compete in the market, learning (hopefully som very) valuable lessons from its Gaudi AI accelerator, which has been beyond a disappointment. Intel hasn't totally ripped it from the market, but has moved it to being "internal" meaning it will continue to work on it, adapting it to market and computational demands.