Frontier AI training compute growth
Epoch AI's annotated chart drew 22.3K views on X: 0.3x its typical post and #81 of 97 Epoch AI charts we track by views. Read Oct 10, 2026.
The amount of compute used to train frontier models has been growing at a breakneck pace of over 4x per year since 2018, resulting in an overall scale-up of more than 10,000x! But what factors are enabling this rapid growth? 🧵 1/6
Why it spread
This post from @EpochAIResearch spread because it paired a hot topic that week with a striking claim of over 4x per year growth and more than 10,000x scale-up, drawing 22,315 views, 151 likes, 19 reposts, 11 quotes, and 69 saves, with quotes landing in the top quarter.
What worked
- The headline numbers are concrete and dramatic: over 4x per year since 2018 and an overall scale-up of more than 10,000x.
- The post is framed as a thread that asks what factors are enabling this rapid growth, which invites readers to keep going and to quote or discuss it.
- It is a branded chart with a source line and medium design polish, which lends credibility while staying readable.
What to borrow
We could open with one hard growth multiple from our own data, then use a short thread to break down the factors behind it, keeping a visible source line and a clear brand mark.
Careful
Do not over-read the quote rate or assume the same framing will work for every topic, since the facts note a hot topic that week and many quotes, not a proven repeatable formula.
Written by our analysis model from the measured numbers above, not by Epoch AI.
Make it yours
Your numbers, in this table chart.
Starts from the real numbers of "Factors contributing to the overall growth in training compute" by Epoch AI. Replace every number with yours before you post. Make one like this, step by step
Free pictures carry a small "Made with ViralChart" line. That line is how other people find us.
API · Max
Use this chart via API
On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 9ff95854c9fc.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/9ff95854c9fc | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/9ff95854c9fc/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/9ff95854c9fc/render?view=1 | The draw-only view this page uses | Open |
| POST | /mcp | Tool get_chart_data with this id, for Claude, Cursor and other agents | Max |
curl -s https://viral-chart.com/api/v1/charts/9ff95854c9fc/data \
-H "Authorization: Bearer $VIRALCHART_KEY"claude mcp add --transport http viralchart https://viral-chart.com/mcp \
--header "Authorization: Bearer $VIRALCHART_KEY"60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.
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Questions people ask
How far did Epoch AI's "Frontier AI training compute growth" chart travel?
22,315 views, 151 likes, 19 reposts and 69 saves on X, read Oct 10, 2026. A normal post from @EpochAIResearch gets about 68.2K views.
What kind of chart is it?
A annotated chart. Factors contributing to overall growth in training compute.
Can I use Epoch AI's chart?
Use the format, not the picture. The chart, logo and design belong to Epoch AI. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.