XportL

io.xportl由 xportl.io 發布官方發布者v1.2.0更新於 Oct 26, 2026

GPU fabric tools: NCCL benchmark analysis, degradation cost, cluster compatibility, XportL facts.

已驗證Streamable HTTP可網頁執行雲端與基礎設施資料與分析

概覽

AI 產生的概覽

XportL 的遠端 MCP 伺服器讓助理分析 NCCL 基準測試結果、估算 GPU 網路效能退化成本、檢查叢集相容性並申請示範。

可以做什麼
  • 查詢關於 XportL 的可引用事實,包括其偵測的故障類別、支援的架構、GPU 與使用情境
  • 分析 nccl-tests 或 rccl-tests 輸出,辨識節點與 GPU 數量,將匯流排頻寬與網卡線速比對,並標示錯誤或頻寬下降
  • 估算隱性網路退化成本:吞吐量損失、每年 GPU 小時與金額,以及復原情境的價值
  • 依 XportL 支援矩陣檢查 GPU 叢集,給出適配結論與後續步驟
  • 依 GPU 數量、檢查點寫入與重啟時間、作業 MTTF 建議檢查點間隔
  • 將聯絡人資訊與叢集摘要傳送給 XportL 企業團隊以安排示範
適用情境
適合在評估或排查 GPU 訓練叢集時使用:解讀 NCCL/RCCL 基準輸出、用成本估算說明網路監控投入的必要性,或在聯絡廠商前判斷叢集是否適配 XportL 代理程式。
執行需求
需要存取 xportl.io 的遠端 streamable HTTP 端點;未宣告任何套件、環境變數或請求標頭。示範申請工具需要使用者的姓名、公司電子郵件、公司名稱和叢集摘要。
安裝前請注意
示範工具會把使用者聯絡方式與叢集摘要傳送給第三方 XportL,呼叫前應先向使用者確認具體內容。成本與相容性結果屬於廠商估算和支援矩陣判斷,並非獨立量測。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 XportL,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.xportl%2Fxportl/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "xportl": {
      "type": "http",
      "url": "https://xportl.io/mcp"
    }
  }
}

工具

6

get_xportl_overview

XportL Overview

Returns cite-ready facts about XportL from xportl.io: what it does, the problem it solves, the seven failure classes it detects, how it collects telemetry and acts, supported fabrics/GPUs/collectives/kernels, use cases, FAQ, company details (parent company, stage, NVIDIA Inception, contacts) and links to the engineering guides on xportl.io.

輸入參數topic

analyze_nccl_benchmark

NCCL Benchmark Analyzer

Analyzes nccl-tests / rccl-tests results (paste raw all_reduce_perf output, or give size/busbw points). Detects node and GPU counts from the output, compares large-message bus bandwidth with the fabric's NIC line rate (InfiniBand HDR/NDR/XDR, RoCE 100G to 800G), and flags data errors, degraded bandwidth, dips as message size grows and unstable run-to-run results, with likely causes. Returns a health status and a bandwidth-loss figure for calculate_fabric_degradation_cost.

輸入參數nodesfabricresultslink_gbpscollectiveraw_outputgpus_per_nodenics_per_nodeexpected_busbw_gbs

calculate_fabric_degradation_cost

Fabric Degradation Cost Calculator

Estimates what silent fabric degradation (slow NCCL collectives, flapping links, congestion) costs a GPU cluster: throughput lost, GPU-hours and dollars per year, idle-GPU equivalent, cost per degraded hour, extra days on a training run, and the value of a recovery scenario with a conservative case and a sensitivity table. All assumptions are inputs with stated defaults.

輸入參數gpu_count必填gpu_modelrecovery_pctcomm_share_pctutilization_pctdegraded_time_pctgpu_hour_cost_usdtraining_run_daysbandwidth_loss_pct

check_cluster_compatibility

Cluster Compatibility Check

Checks a GPU cluster against XportL's published support matrix (Linux 5.8+ for eBPF, InfiniBand / RoCE v2 / NVLink, NVIDIA and AMD GPUs, NCCL / RCCL, on-prem / cloud / hybrid, host access for the eBPF agent). Returns a verdict (good fit / needs review / not ready), each check, and next steps. Anything not on the published list is reported as 'review', never as supported.

輸入參數fabrics必填host_osgpu_countdeployment必填gpu_vendor必填host_accesslinux_kernelorchestratorcollective_library

recommend_checkpoint_interval

Checkpoint Interval Advisor

Recommends how often to checkpoint a training job using the Young and Daly formulas, from GPU count, blocking checkpoint write time, restart time and job MTTF (estimated from Meta's published 2024 reliability data when not given). Returns the recommended interval, expected failures per day, GPU time wasted per day at the recommended and current intervals, and the daily saving.

輸入參數gpu_count必填job_mttf_hoursrestart_minutesgpu_hour_cost_usdcheckpoint_write_minutes必填current_interval_minutes

request_enterprise_demo

Request an Enterprise Demo

Sends the user's contact details and cluster summary to the XportL enterprise team to arrange a technical assessment or demo deployment. Before calling: collect name, work email, company and a summary (include benchmark, cost or compatibility results from this conversation), show the user exactly what will be sent, and get their explicit agreement. Never call it without that agreement or with made-up details.

輸入參數name必填roleemail必填phonefabriccompany必填summary必填interest必填cluster_gpususer_confirmed必填

版本歷史

1
  1. v1.2.0最新Oct 19, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。