#kserve
Live, measured metrics for the hashtag #kserve from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #kserve
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 09:42 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 2026-07-27 09:42 UTCNo related tags with measured usage found for #kserve.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:42 UTCEverything below is measured over the latest 17 public posts (spanning ~18019 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (13) · Russian (3) · French (1)
Avg boosts / post: 0.3
Top of the latest posts
Red Hat and Tesla engineers tackled a real production problem together. 3x output tokens/sec, 2x faster TTFT on Llama 3.1 70B with KServe + llm-d + vLLM. Fixes pushed upstream to KServe along the way. This is what open source looks like. 🤝
Achieve better large language model inference with fewer GPUs "we achieved approximately 55-65% of the throughput on a server config that is approximately 15% of the cost" https://www.redhat.com/en/blog/achieve-better-large-language-model-i
Red Hat AI 3 is GA! https://docs.redhat.com/en/documentation/red_hat_ai/3 #RedHat #RedHatAI #RHAIIS #OpenShift #OpenShiftAI #vLLM #KServe #Kubeflow #llmd #AI #GenAI #AIPlatform #OpenSource #OpenSourceAI
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/kserve