#waferscale
Live, measured metrics for the hashtag #waferscale from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #waferscale
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 · mas.to (Mastodon public tags API) · fetched 2026-11-08 14:01 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-08 14:01 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-08 14:01 UTCEverything below is measured over the latest 6 public posts (spanning ~24206 hours).
Posting hours (UTC)
Languages: English (5) · Russian (1)
Avg boosts / post: 0
Top of the latest posts
[Перевод] Как развернуть Kimi K3 локально на Cerebras Один из самых частых вопросов, которые нам задают: как мы разворачиваем большие модели на чипах Cerebras размером с целую кремниевую пластину? На одной пластине Cerebras WSE-3T находится
Erick (@ErickSky) Cerebras의 초고속 LLM 추론 성능 주장을 소개하며, 이 회사가 GPU 대신 거대한 단일 웨이퍼 기반 AI 칩인 Wafer-Scale Engine(WSE)을 만든다고 설명했다. GPT-5.6 Sol에서 초당 750토큰이라는 수치가 언급됐지만, 해당 벤치마크의 모델 구성·측정 조건은 트윗만으로 검증되지 않았다. https://x.com/ErickSky/status/20879583868561
#OpenAI GPT-5.3-Codex-Spark Now Running at 1K Tokens Per Second on BIG #Cerebras Chips OpenAI showed a “build a snake game” task on GPT-5.3-Codex-Spark and GPT-5.3-Codex at medium. Both completed task, but the Cerebras-backed Spark ran in 9
#waferscale across platforms
every network with a public tag surfaceFollow #waferscale 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/waferscale