Thunder Compute: Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone. Salad 每月有 713,519 次造訪，月增率 +10.4%，定價模式為免費試用、付費、需聯絡報價。Thunder Compute 每月有 102,147 次造訪，成長率 -29%，定價模式為 Paid (per-minute instances, per-second sandboxes)。
低成本雲端 GPU：面向 AI 工作負載的按分鐘執行個體與按秒計費沙箱。
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | salad.com | thundercompute.com |
| 定價模式 | 免費試用、付費、需聯絡報價 | Paid (per-minute instances, per-second sandboxes) |
| 每月造訪次數 | 71.35萬 (713,519) | 10.21萬 (102,147) |
| 月流量變化量 | +6.75萬 (+10.4%) | -4.17萬 (-29%) |
| 主要市場與市佔 | 🇺🇸 美國 (40.9%) | 🇺🇸 美國 (53.5%) |
| 每月直接造訪 | 44.09萬 | 4.07萬 |
| 使用者評分 | 4.3 | 4.4 |
| 支援平台 | 網站 | 網站 |
編排全球閒置消費級 GPU 的分散式 GPU 雲
在數千個分散式 GPU 節點上調度、監控並重新分配 Docker/OCI 工作負載，節點消失時自動容錯移轉。
隨需存取覆蓋 190 多個國家的閒置消費級 GPU 分散式算力池，優先定價約從每小時 0.015 美元起。
面向開源權重模型的託管 token 端點，按 token 計費，你的資料不會被用於訓練。
在組織內部運行同一套編排堆疊，把閒置工作站 GPU 匯聚成內部相容 OpenAI 的服務。
低成本雲端 GPU：面向 AI 工作負載的按分鐘執行個體與按秒計費沙箱。
開通 RTX A6000、L40、A100 80GB 或 H100 SXM 機器，通常幾分鐘內即可 SSH 登入，僅在執行時計費。
啟動帶或不帶 GPU 的隔離 Ubuntu 虛擬機，用於 RL rollout、評估與 CI，按秒計費，工作之間可縮容至零。
CLI、VS Code 擴充套件、MCP 伺服器與 REST API，讓你能從終端機、編輯器、AI Agent 或自有服務驅動基礎設施。
將執行個體磁碟保存為快照並在之後還原，實驗可隨時暫停，無需讓機器持續執行。
Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack.
專項更強Offers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
免費 / 開源由 PyTorch Lightning 創建團隊打造的 AI 雲端平台
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.
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Scales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
為訓練與推論工作負載打造的私有 AI 雲
