Feedback from individuals and teams who follow AI hardware through skarna's publication.
← Back to Home"I follow several publications in this area, and skarna is the one I actually read rather than skim. The archive has become a reference I go back to — last month I pulled up a piece on HBM supply chains from eight months ago that was more useful than anything I found searching elsewhere."
"The Team Library Plan made sense for us because four people in our group track different parts of the hardware stack. Having a shared reading source means we spend less time catching each other up on context. The curated reading list was more useful than I expected — it gave us a starting point rather than dumping the archive on us."
"We commissioned a report on AI inference hardware when we were trying to understand the direction packaging architectures were taking. The scoping call was genuinely useful — it helped us define what we actually needed rather than what we thought we needed. The written report became a document we shared internally."
"For work involving semiconductor companies, having a source that isn't tied to vendors is important. skarna doesn't oversimplify things and doesn't have a product to promote. The depth on memory architectures in particular has been useful context for evaluating companies further up the stack."
"What I appreciate is that the writing treats readers as professionals. There is no introductory explanation of what a GPU is — it assumes you know, and goes from there. The supply chain analysis in particular covers things that don't appear in the usual tech news cycle."
"I've kept a skarna subscription for three years now. The format has stayed consistent, the coverage has deepened, and the archive has become more valuable over time. The pricing is clear and has not changed unpredictably. For what it covers, I haven't found a better-maintained alternative in this region."
A technology company's strategy team needed to build shared context on AI accelerator architectures before a series of internal planning sessions.
They set up a Team Library Plan and used the curated reading list to sequence material from the archive for the team to work through in the month before the planning sessions.
The team reported a noticeably shorter time spent in the sessions establishing baseline understanding, with discussions moving more directly to decision points.
An analyst needed well-sourced background on memory supply chain dynamics as part of research for a memo on a semiconductor-adjacent company.
Using their Reader Subscription, they searched the archive by topic and found three relevant pieces that covered different aspects of memory procurement and pricing.
The archive pieces were used as cited reference material in the memo's background section, reducing the time spent building that context from scratch.
An organisation developing AI-adjacent products needed a focused reference piece on edge inference hardware options and their architectural trade-offs.
They commissioned a report through skarna. The scoping call clarified that the audience was product engineers rather than analysts, which shaped the format and depth of the written report.
The report was distributed internally and used as a reference document during a product specification process, avoiding repeated searches across fragmented external sources.
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