#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.

hashtag.org network · sponsored

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.

$23.52/ year · 10-character #name
Claim #waferscale — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.1
Avg reactions / post
Mastodon · last 7

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 22:46 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 22:46 UTC
#waferscaleintegration
0 uses · 0 accounts / 7d
#WaferScaleEngine2
0 uses · 0 accounts / 7d
#waferscalecomputing
0 uses · 0 accounts / 7d
#WaferScaleEngine
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 22:46 UTC

Everything below is measured over the latest 7 public posts (spanning ~25198 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7)

Avg boosts / post: 0

Top of the latest posts

  • With “Big Chip,” #China Lays Out Aspirations For #Waferscale China planning 1,600-core chips that use an entire wafer — similar to American company #Cerebras 'wafer-scale' designs. Chinese Academy of Sciences introduced an advanced 256-core

    Benjamin Carr, Ph.D. 👨🏻‍💻🧬@[email protected]♥ 1↻ 02024-01-20 22:21 UTCView post →

  • Cerebras (@cerebras) @sarahookr가 인퍼런스에서 메모리를 같은 위치에 co-locate하면 비용이 큰 메모리 전송을 줄여 훨씬 더 많은 성능을 얻을 수 있다고 설명했다. 이는 추론 최적화가 새로운 칩 아키텍처 패러다임을 요구하며, 웨이퍼 스케일 같은 접근이 다시 주목받는 이유를 시사한다. https://x.com/cerebras/status/2062331362305339592 #inference #mem

    ainews@[email protected]♥ 0↻ 02026-06-04 12:49 UTCView post →

  • #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

    Benjamin Carr, Ph.D. 👨🏻‍💻🧬@[email protected]♥ 0↻ 02026-02-19 11:04 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/waferscale