#DGX
Live, measured metrics for the hashtag #DGX from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dgx
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 2026-07-27 06:49 UTC2 uses by 2 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 2026-07-27 06:49 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 06:49 UTCEverything below is measured over the latest 40 public posts (spanning ~17105 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (31) · Russian (3) · German (3) · Italian (1) · Chinese (Taiwan) (1)
Avg boosts / post: 0.2
Top of the latest posts
I don't see any reason to own an NVIDIA #DGXSpark except for one: Already being part of the NVIDIA ecosystem. It's far too expensive. A #MacBook M4 Max is a serial contender, and #StrixHalo perform almost the same. Consumers are not the tar
Debating TinyBox (TinyCorp) vs NVIDIA DGX Station is like choosing between a tactical off-grid cabin and a corporate panic room. TinyBox: OSS-friendly, sips power, runs whisper quiet—great for AI nerds who want root. DGX: Raw CUDA firepower
NVIDIA (@nvidia) NVIDIA가 미 해군대학원(NPS Monterey)에 DGX GB300 시스템을 구축했다. 약 1,500명의 학생과 600명의 교수가 대규모 AI 컴퓨팅을 온프레미스로 이용할 수 있게 되며, 공공 부문의 AI 연구·교육 인프라 확대 사례다. https://x.com/nvidia/status/2080326297260072992 #nvidia #dgx #gb300 #aiinfrastructure #
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/dgx