#llm_на_своём_железе

Live, measured metrics for the hashtag #llm_на_своём_железе 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 #llm_на_своём_железе

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 · 19-character #name
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-23 09:27 UTC
0
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23

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 2026-08-23 09:27 UTC

No related tags with measured usage found for #llm_на_своём_железе.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-23 09:27 UTC

Everything below is measured over the latest 1 public posts.

Top of the latest posts

  • Миллион токенов за 1 ₽ или за 20 726 ₽: одна RTX 5090, и почему API все равно дешевле Разговор повторяется раз в месяц: платим за API прилично, может, купим свою карту? Сел и разложил все в цифры. Час своей 5090 в рублях, пропускная способн

    Habr@[email protected]002026-08-04 09:42 UTCView post →

What “llm_на_своём_железе” means

Wikipedia

A large language model (LLM) is an AI model trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable.

Large language model” on Wikipedia (CC BY-SA) →

#llm_на_своём_железе across platforms

every network with a public tag surface

Follow #llm_на_своём_железе 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/llm_на_своём_железе