Technology, journalism, tennis, family, travel in Italy. The Forecast by Nutanix Editor in Chief. Sharing interests not endorsements.

Joined March 2007
Ken Kaplan retweeted
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Building semiconductor leadership requires both innovation and the manufacturing capacity to bring it to scale. In his latest piece, Naga Chandrasekaran highlights Intel Foundry’s growing U.S. footprint, including progress on our Ohio site. Read more: ms.spr.ly/6010avfyk #IntelFoundry
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I spent two days touring Intel’s most advanced fab and talking to its technical leadership to understand what the chips of the future will look like. A lot of what's coming next – gate-all-around transistors, backside power, CFET, hybrid bonding – is hard to follow without actually seeing it, so we made all the awesome animated explainers that I wish I had while I was prepping. I also asked Intel’s leadership how the semiconductor industry will cope with the enormous shock in demand from AI. AI compute has grown 3x a year for the last decade, but according to Intel's CTO, Intel could only double leading-edge wafer production with today’s global stock of chipmaking tools. What kinds of tricks can foundries pull to extend this crossover point where demand surges way ahead of supply? This was a totally new format for us - hope you enjoy! 0:00:00 – Intro 0:00:47 – How Intel brings up a new process node 0:03:22 – What Intel learned from 10nm 0:06:28 – From planar transistors to gate-all-around 0:13:13 – Why High-NA EUV pays off for Intel but not TSMC 0:19:20 – Could chips have evolved completely differently? 0:23:33 – Inside Intel's "Hot Topics" meeting 0:29:30 – Replacing copper wires with ruthenium 0:32:41 – Why stacked transistors take a decade to ship 0:39:45 – Hybrid bonding and the chip-to-chip bottleneck 0:48:00 – There aren't enough tools to 10x chip production 0:53:14 – Can Intel catch up to TSMC? 1:01:02 – Terafab, and rethinking the fab from scratch
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Who Controls Your AI? Designing for Choice and Resilience How Enterprises Can Reduce AI Dependencies While Preserving Performance and Flexibility. buff.ly/w7MrIej
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A skyrocketing coding-tool bill led Nutanix to build a $20M AI factory, sparking a cross-industry trend. Nutanix engineers describe how owning GPU infrastructure powered by its own software stack will run open-weight models and help control costs, performance and data. The company intends to allocate 80% of tokens from the AI factory to on-premises AI models and the remaining 20% to frontier models. #NutanixForecast --nutanix.com/theforecastbynut…
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An update from me...
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Ken Kaplan retweeted
o 25th Anniversary 25 City World Tour Register for pre-sales at link in bio or damienrice.com Pre-sales start Wed 21st of October at 10 am (local time of the various cities) *Except Seoul at 12 pm local time Two more cities to be announced soon…
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