#graphcore
Live, measured metrics for the hashtag #graphcore from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #graphcore
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 · mastodon.social (Mastodon public tags API) · fetched 2026-11-10 02:13 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-11-10 02:13 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-10 02:13 UTCEverything below is measured over the latest 19 public posts (spanning ~65621 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (11) · German (5) · French (2)
Avg boosts / post: 0.1
Top of the latest posts
See also Graphcore's idea: lots of distributed SRAM in a many-multicore chip. Nearly 2000 MPUs on chip, 600MB of SRAM, and nearly 50TB/s of bandwidth. "Graphcore's M2000 system offers one petaflop of processing power for $32,450" https://ww
Exciting technologies that you might not have heard about yet. https://crazydeepgrowth.wordpress.com/2019/06/24/exciting-technologies-that-you-might-not-have-heard-about-yet/ #mastodon #discourse #mobilizon #calyxos #grapheneos #graphcore #
🤖🍕 #Graphcore just dropped a "1 petaFLOP pizza box" server because apparently, #AI needs its own novelty kitchen appliance. Meanwhile, they’re busy stuffing buzzwords into their "IPU Technology" like a Thanksgiving turkey, hoping no one n
What “graphcore” means
WikipediaGraphcore Limited is a British semiconductor company that develops accelerators for AI and machine learning. It has introduced a massively parallel Intelligence Processing Unit (IPU) that holds the complete machine learning model inside the processor.
“Graphcore” on Wikipedia (CC BY-SA) →#graphcore across platforms
every network with a public tag surfaceFollow #graphcore 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/graphcore