#網路工程
Live, measured metrics for the hashtag #網路工程 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #網路工程
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 2026-08-26 14:47 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 2026-08-26 14:47 UTCNo related tags with measured usage found for #網路工程.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 14:47 UTCEverything below is measured over the latest 13 public posts (spanning ~4672 hours).
Posting hours (UTC) — busiest: 06:00
Languages: Chinese (Taiwan) (13)
Avg boosts / post: 0
Top of the latest posts
🌗 設計乙太網交換機 ASIC：電線上的故事 ➤ 從軟體到矽晶片：打破網路黑盒的開源實驗 ✤ https://essenceia.github.io/projects/ethernet_switch_asic/ 本文記錄了作者挑戰開發全球首款開源交換機 ASIC（特殊應用積體電路）的過程。面對市面上缺乏開源網路硬體的現狀，作者選擇從門檻較高的路由器設計中抽身，轉而透過 Tiny Tapeout 專案實作一款功能齊全的交換機晶片。文章詳細探討了設計過程中遭遇的嚴苛限制，包括極
🌘 透過「徵用」Linux 進程實現高效能網路模擬 ➤ 以輕量化架構突破網路模擬的效能瓶頸 ✤ https://www.usenix.org/conference/atc22/presentation/jansen 在當今分散式系統的研究中，網路模擬工具往往面臨大規模擴展性不足或架構過於複雜的問題。本研究介紹了 Phantom，這是一種創新的網路模擬架構，它打破了傳統模擬器的限制，透過直接執行未經修改的 Linux 應用程式作為模擬過程的一部分，大幅提升了模擬效率。與現有的
🌗 AMD Strix Halo RDMA 叢集建置指南：利用 Intel E810 實現分佈式 vLLM 推論 ➤ 透過低延遲網路技術，極致發揮 AI 硬體效能 ✤ https://github.com/kyuz0/amd-strix-halo-vllm-toolboxes/blob/main/rdma_cluster/setup_guide.md 本文詳述如何將兩臺配備 AMD Strix Halo 的設備，透過 Intel E810 網卡以 RoCE v2 協定串聯，
#網路工程 across platforms
every network with a public tag surfaceFollow #網路工程 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/網路工程