#memoryusage
Live, measured metrics for the hashtag #memoryusage from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #memoryusage
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 11:01 UTC0 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 2026-07-30 11:01 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 11:01 UTCEverything below is measured over the latest 9 public posts (spanning ~37047 hours).
Posting hours (UTC)
Languages: English (8) · German (1)
Avg boosts / post: 0.4
Top of the latest posts
Ars Technica: Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x. “Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language models (LLMs) while als
#Huawei’s Computing Systems Lab introduced #SINQ, an #opensource #quantisationmethod for large language models (#LLMs). SINQ reduces #memoryusage by 60-70% without sacrificing output quality, enabling models to run on less powerful #hardwar
Also, Apple apps are no better. #Mac #Apple #MemoryUsage
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/memoryusage