Thunder Compute 每月有 102,147 次造訪，月增率 -29%，定價模式為 Paid (per-minute instances, per-second sandboxes)。Union.ai 每月有 17,787 次造訪，成長率 -28.4%，定價模式為免費增值、需聯絡報價。
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 | thundercompute.com | union.ai |
| 定價模式 | Paid (per-minute instances, per-second sandboxes) | 免費增值、需聯絡報價 |
| 每月造訪次數 | 10.21萬 (102,147) | 1.78萬 (17,787) |
| 月流量變化量 | -4.17萬 (-29%) | -7039 (-28.4%) |
| 主要市場與市佔 | 🇺🇸 美國 (53.5%) | 🇺🇸 美國 (52.8%) |
| 每月直接造訪 | 4.07萬 | 7040 |
| 使用者評分 | 4.4 | 4.4 |
| 支援平台 | 網站 | 網站 |
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。
在你自己的雲中執行的可持久化 AI 執行環境
任務、追蹤與成品可跨基礎設施故障存活。執行可派生、恢復並自最後成功步驟重放，重試與快取由執行環境統一處理。
具名、帶型別並帶版本的成品串連各團隊，血緣圖清楚顯示某個版本由哪次執行產出、又被哪些下游任務取用。
控制面託管於 Union 雲，負載在你自己的 AWS、GCP、Azure 或新雲叢集上執行，始終位於自有安全邊界內。
支援接入 OpenAI、Claude、PydanticAI、CrewAI 等 Agent，每一輪皆被追蹤並於臨時容器中沙箱執行，支援 MCP 伺服器與人工核准。
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
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.
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.
為訓練與推論工作負載打造的私有 AI 雲
