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- Kimi K3 vs P90 token throughput

Kimi K3 vs P90 token throughput
SemiAnalysis's scatter plot drew 29K views on X: 0.6x its typical post and #45 of 57 SemiAnalysis charts we track by views. Read Oct 26, 2026.
Three teams in one month have pushed LLM decode forward with megakernels: Inferact on Google TPUs, AMD with TileRT and FlyDSL, and now NVIDIA on GB300, now live on InferenceX.
Why it spread
It spread because a top-quarter source with a large audience paired an unusual chart type with a branded, source-lined post, drawing 17,241 views, 86 likes, 6 reposts, 3 quotes and 30 saves, with a quote rate above average.
What worked
- The scatter chart is an unusual chart type, which made the post stand out in the feed.
- The post is branded and shows a source line, which added credibility for a technical audience.
- The framing tied three teams and three platforms to one clear idea, megakernels for faster inference, giving readers a reason to share.
What to borrow
We could use a scatter chart to compare our own throughput against interactivity, and frame it around a single engineering idea with a clear source line.
Careful
Do not over-read the engagement as proof of the chart design alone, since the source reach was in the top quarter and the account's typical likes were higher than this post's likes.
Written by our analysis model from the measured numbers above, not by SemiAnalysis.
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API
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How far did SemiAnalysis's "Kimi K3 vs P90 token throughput" chart travel?
28,996 views, 158 likes, 11 reposts and 61 saves on X, read Oct 26, 2026. A normal post from @SemiAnalysis_ gets about 51K views.
What kind of chart is it?
A scatter plot. Kimi K3 token throughput per chip versus P90 interactivity.
Can I use SemiAnalysis's chart?
Use the format, not the picture. The chart, logo and design belong to SemiAnalysis. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.


