#tflops
Live, measured metrics for the hashtag #tflops from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #tflops
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 2026-09-10 21:04 UTC0 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 2026-09-10 21:04 UTCNo related tags with measured usage found for #tflops.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-10 21:04 UTCEverything below is measured over the latest 8 public posts (spanning ~19175 hours).
Posting hours (UTC)
Languages: English (7) · Italian (1)
Avg boosts / post: 0.1
Top of the latest posts
Training an LLM in Swift, Part 1: Taking matrix mult from Gflop/s to Tflop/s https://www.cocoawithlove.com/blog/matrix-multiplications-swift.html #HackerNews #Swift #LLM #matrix #multiplication #Gflops #Tflops #machinelearning
AISatoshi (@AiXsatoshi) 자택 컴퓨팅 자원이 1000 TFLOPS를 넘었다고 언급하며, 로컬 LLM을 돌리는 고성능 개인 컴퓨팅 환경에 관심 있는 해외 사용자들을 초대했다. 로컬 AI 추론과 컴퓨팅 자원 확장 흐름을 보여준다. https://x.com/AiXsatoshi/status/2038925060539637866 #localllm #tflops #aicompute #llm #hardware
New benchmark shows that larger CUDA tiles can cut Flash Attention throughput by 18‑43 % across sequence lengths. The study dives into kernel design, TFLOPS loss, and what it means for transformer model efficiency on NVIDIA GPUs. Open‑sourc
What “tflops” means
WikipediaFloating point operations per second is a measure of computer performance or compute in computing, useful in fields of scientific computations that require floating-point calculations.
“Floating point operations per second” on Wikipedia (CC BY-SA) →#tflops across platforms
every network with a public tag surfaceFollow #tflops 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/tflops