#MLPerf

Live, measured metrics for the hashtag #MLPerf from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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$520.70/ year · 6-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
28
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 28
0.4
Avg reactions / post
Mastodon · last 28

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 11:02 UTC
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30

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 2026-07-30 11:02 UTC
#mlperf3
0 uses · 0 accounts / 7d
#MLPerfTinyML
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 11:02 UTC

Everything below is measured over the latest 28 public posts (spanning ~45074 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (24) · German (2) · Japanese (2)

Avg boosts / post: 0.1

Top of the latest posts

  • NVIDIA posted their #MLPerf #MachineLearning benchmarks today. Take-away: 2.5X overall speed improvements on A100 (Ampere) due to software improvements since initial release. 6.7X overall speed improvement on new H100 (Hopper) architecture

    Don Kosak@don_kosak♥ 9↻ 12022-11-09 21:43 UTCView post →

  • #MLPerf #Training and #HPC results highlight performance gains of *up to* 2.8X compared to 5 months ago and 49X over the first results five years ago https://insidehpc.com/2023/11/mlperf-training-and-hpc-benchmark-show-49x-performance-gains

    HPC Guru@[email protected]♥ 1↻ 02023-11-08 22:49 UTCView post →

  • NVIDIA (@nvidia) NVIDIA Blackwell 플랫폼이 MLPerf Training 6.0에서 최고 성능과 최대 규모를 기록했다고 주장하며, RAS Engine과 NVIDIA Resiliency Extension 같은 기능으로 학습 중단을 줄이고 대규모 학습의 안정성을 높인다고 소개했다. AI 인프라/학습 성능 관점에서 주목할 만한 하드웨어 소식이다. https://x.com/nvidia/status/206690

    ainews@[email protected]♥ 0↻ 02026-06-17 00:50 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/mlperf