#gpus

Live, measured metrics for the hashtag #gpus from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #gpus

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$2,449.80/ year · 4-character #name
Claim #gpus — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
8
Uses / 7 days
Mastodon
5
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 40
0.3
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-13 11:22 UTC
0
10-07
1
10-08
0
10-09
1
10-10
1
10-11
5
10-12
0
10-13

8 uses by 5 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-13 11:22 UTC
#gpusecurity
1 uses · 1 accounts / 7d
#GpuServerVulnerability
1 uses · 1 accounts / 7d
#gpusa
0 uses · 0 accounts / 7d
#gpuskydd
0 uses · 0 accounts / 7d
#gpushield
0 uses · 0 accounts / 7d
#gpusakerhet
0 uses · 0 accounts / 7d
#gpustack
0 uses · 0 accounts / 7d
#gpushortage
0 uses · 0 accounts / 7d
#gpusqueeze
0 uses · 0 accounts / 7d
#gpusupplychain
0 uses · 0 accounts / 7d
#gpusystems
0 uses · 0 accounts / 7d
#gPUSottoutilizzo
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-13 11:22 UTC

Everything below is measured over the latest 40 public posts (spanning ~626 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (39) · German (1)

Avg boosts / post: 0.3

Top of the latest posts

  • @dannotdaniel @GhostOnTheHalfShell Great video if you want to understand the current #AI bubble and why it is inevitably going to burst, and soon. It is very complicated to understand, but here are my takeaways. The answers are only partial

    David J. Atkinson@meltedcheese@c.im♥ 5↻ 32026-10-02 19:28 UTCView post →

  • https://go.dev/blog/simd-experiment has the potential to unravel the #Python #ai monopoly and reduce costs to do inference by moving from #GPUs to #cpus . Great #golang update

    Invirtuate@invirtuate♥ 3↻ 22026-09-25 19:11 UTCView post →

  • Alarms going off: The AI Panel Ed Zitron: Microsoft Has $80 Billion Of AI Chips It Can't Plug In For everyone wondering about the consequences, & when the AI bubble bursts… hold onto your hats & watch ‘The AI Panel’ (includes the line: “The

    Su_G@Su_G@aus.social♥ 1↻ 32026-10-06 11:02 UTCView post →

#gpus across platforms

every network with a public tag surface

Follow #gpus straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/gpus