#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.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0
Avg reactions / post
Mastodon · last 8

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 09:13 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 09:13 UTC

No related tags with measured usage found for #memoryhierarchy.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:13 UTC

Everything below is measured over the latest 8 public posts (spanning ~4073 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7) · Italian (1)

Avg boosts / post: 1

Top of the latest posts

  • 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@[email protected]♥ 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@[email protected]♥ 0↻ 12026-07-06 02:37 UTCView post →

  • A modern AI server runs five layers of memory, from nanosecond on-chip SRAM to petabyte-scale SSDs, and keeping the GPU fed is the whole engineering game. This piece walks the full hierarchy: why HBM became the bottleneck, why adding more i

    BuySellRam.com@[email protected]♥ 0↻ 12026-07-06 02:29 UTCView post →

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