#memoryhierarchy

Live, measured metrics for the hashtag #memoryhierarchy 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 #memoryhierarchy

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.

$5.00/ year · 15-character #name
Claim #memoryhierarchy — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0
Avg reactions / post
Mastodon · last 9
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-18 20:30 UTC
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-10-18 20:30 UTC

No related tags with measured usage found for #memoryhierarchy.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-18 20:30 UTC

Everything below is measured over the latest 9 public posts (spanning ~5104 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (8) · Italian (1)

Avg boosts / post: 1

Top of the latest posts

  • Muse Glimmer is a memory hierarchy disguised as a 30B Transformer Article URL: https://abstractextraordinary.com/blog/how-muse-glimmer-fits-an-agent-on-your-device/ Comments URL: https://news.ycombinator.com/item?id=49346074 Points: 4 # Com

    TechWire ⚡@techwire@gamefan.net♥ 0↻ 12026-08-18 19:25 UTCView post →
  • Dentro la gerarchia della memoria delle GPU: come i server AI spostano i dati dagli SSD alla HBM Ti sei mai chiesto come i modelli di intelligenza artificiale trasferiscono i dati alla GPU? Questo articolo spiega in modo semplice i diversi

    bsrtech@bsrtech@poliverso.org♥ 0↻ 32026-07-06 20:56 UTCView post →
  • Why can't a GPU just carry more HBM? Interposers max out in size, stacking 12 to 16 DRAM dies compounds yield losses, and every stack sits beside a kilowatt-class package that hates sharing heat. So capacity climbs in careful steps — 80 GB

    ALEXBSR@alexbsr@techhub.social♥ 0↻ 12026-07-06 02:37 UTCView post →

#memoryhierarchy across platforms

every network with a public tag surface

Follow #memoryhierarchy 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.

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/memoryhierarchy