#rdma

Live, measured metrics for the hashtag #rdma 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 #rdma

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.

$2,449.80/ year · 4-character #name
Claim #rdma — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 16:45 UTC
1
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 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 16:45 UTC
#gpudirect_rdma
0 uses · 0 accounts / 7d
#rdma3
0 uses · 0 accounts / 7d
#NVMeRDMA
0 uses · 0 accounts / 7d
#RDManagement
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 16:45 UTC

Everything below is measured over the latest 40 public posts (spanning ~15906 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (27) · Russian (8) · Chinese (Taiwan) (3) · German (2)

Avg boosts / post: 0

Top of the latest posts

  • macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt https://developer.apple.com/documentation/macos-release-notes/macos-26_2-release-notes#RDMA-over-Thunderbolt #HackerNews #macOS #AI #Thunderbolt #RDMA #clusters #technology

    Hacker News@[email protected]♥ 1↻ 02025-12-12 22:49 UTCView post →

  • AISatoshi (@AiXsatoshi) Mac Studio M3 Ultra 환경에서 Qwen3.6-27B 4bit 모델을 TP2로 추론 테스트한 결과, RDMA 활성화 시 처리량이 28.5 tok/s에서 43.2 tok/s로 약 1.5배 향상됐다고 공유했습니다. 멀티 노드·멀티 디바이스 추론에서 통신 경로 최적화가 성능에 미치는 영향을 보여주는 사례입니다. https://x.com/AiXsatoshi/status/20792

    ainews@[email protected]♥ 0↻ 02026-07-21 06:28 UTCView post →

  • AISatoshi (@AiXsatoshi) Apple이 Thunderbolt 5 기반 Mac Studio M3 Ultra에서 Thunderbolt를 통한 RDMA를 공식 지원한다고 밝혔다. 클러스터 노드 간 통신 지연을 크게 낮춰, 여러 Mac을 이용한 분산 LLM 추론·메모리 집계 구성의 병목 완화에 활용될 수 있다. https://x.com/AiXsatoshi/status/2079081826103292382 #apple #

    ainews@[email protected]♥ 0↻ 02026-07-20 12:53 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/rdma