#gpuускорители
Live, measured metrics for the hashtag #gpuускорители from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #gpuускорители
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 2026-08-22 06:18 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 2026-08-22 06:18 UTCNo related tags with measured usage found for #gpuускорители.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 06:18 UTCEverything below is measured over the latest 5 public posts (spanning ~14424 hours).
Posting hours (UTC)
Languages: Russian (5)
Avg boosts / post: 0
Top of the latest posts
Зеленый рыцарь в осаде: кто копает под Nvidia на рынке AI‑чипов Привет! Мы уже знакомы — меня зовут Александр Баулин. На этот раз я решил разобраться, почему Nvidia до сих пор владеет большей частью рынка чипов для обучения и инференса AI‑м
GPU без магии: что важно знать инженеру перед выбором ускорителя Если вы технарь и работаете с инфраструктурой, то регулярно слышите слова GPU, HBM, NVLink, Tensor Cores, FP8, PCIe и тому подобное. Термины вроде знакомые, но как показывает
Обзор серверного ускорителя NVIDIA Tesla V100 16 Gb в корпусе от RTX 4090: Часть 2 — тестирование в бенчмарках и играх Обзор серверного ускорителя NVIDIA Tesla V100 16 Gb в корпусе от RTX 4090: Часть 2 — тестирование в бенчмарках и играх ht
What “gpuускорители” means
WikipediaA graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a component on a discrete graphics card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs are also increasingly being used for artificial intelligence (AI) processing and model training due to linear algebra acceleration, which is also used extensively in graphics processing.
“Graphics processing unit” on Wikipedia (CC BY-SA) →#gpuускорители across platforms
every network with a public tag surfaceFollow #gpuускорители 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/gpuускорители