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正面對決基準比較
GreenNode vs IPPeak
GreenNode 每月有 75,996 次造訪，月增率 +28.1%，定價模式為付費。IPPeak 每月有 25,571 次造訪，成長率 +20.9%，定價模式為付費。
GreenNode 每月有 75,996 次造訪，月增率 +28.1%，定價模式為付費。IPPeak 每月有 25,571 次造訪，成長率 +20.9%，定價模式為付費。
| 面向／指標 | ||
|---|---|---|
| 官方網域 | greennode.ai | ippeak.com |
| 定價模式 | 付費 | 付費 |
| 每月造訪次數 | 7.6萬 (75,996) | 2.56萬 (25,571) |
| 月流量變化量 | +1.67萬 (+28.1%) | +4412 (+20.9%) |
| 主要市場與市佔 | 🇻🇳 越南 (76%) | 🇨🇳 中國 (49.8%) |
| 每月直接造訪 | 4.19萬 | 1.41萬 |
| 使用者評分 | 4.1 | 4 |
| 支援平台 | 網站 | 網站 |
扎根東南亞的主權高效能 AI 雲
提供隨選 GPU 執行個體與專用 H100 裸機伺服器，針對 AI 訓練、微調與高效能運算工作負載最佳化。
GreenNode Kubernetes Service 負責叢集建立與維運，讓團隊無需自建控制平面即可大規模部署容器化應用。
統一的 AI Platform 支援訓練與推論，MaaS 目錄提供可透過 API 呼叫的現成模型，AgentBase 協助代理上線正式環境。
區塊儲存、檔案儲存、物件儲存，VPC 網路與負載平衡、互連，以及託管的 PostgreSQL、MySQL、MariaDB、Redis、OpenSearch 與 Kafka。
面向全球資料存取的住宅代理與 ISP 代理網路
來自真實住宅網路的輪換住宅位址，涵蓋 195 個以上國家與地區，並支援地理與 ASN 定位。
完全專屬的靜態住宅 IP，在 30 多個國家與地區提供不限頻寬，依每 IP 每天計費，適合長期穩定工作階段。
按小時計費、無流量與 IP 數量限制的方案，適合按 GB 計費會過於昂貴的重度抓取任務。
支援無限並行工作階段，官方標稱 99.95% 的連線成功率，平均回應時間低於 0.5 秒。
免費 / 開源由 PyTorch Lightning 創建團隊打造的 AI 雲端平台
免費 / 開源Swiftproxy is a proxy service offering residential, datacenter and mobile IPs for web scraping, ad verification, price monitoring and multi-account work. It emphasizes non-expiring traffic and unlimited concurrent connections so scraping and automation jobs run at scale.
免費 / 開源Swiftproxy is a proxy service offering residential, datacenter and mobile IPs for web scraping, ad verification, price monitoring and multi-account work. It emphasizes non-expiring traffic and unlimited concurrent connections so scraping and automation jobs run at scale.
專項更強FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use.
專項更強FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use.
