Modal 每月有 1,196,021 次造訪，月增率 +30.2%，定價模式為免費增值、需聯絡報價。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。
為 AI 與資料工作負載打造的无伺服器雲端基礎設施
直接寫 Python，掛載 GPU 或容器，部署成隨流量擴縮、閒置時縮容到零的 HTTPS 端點。
為編碼代理、強化學習 rollout 與不受信任程式碼提供隔離安全環境，啟動低於一秒，可支援百萬級併發沙箱。
在彈性單機或多機 GPU 算力上執行微調、LoRA、全量訓練與強化學習，無需等待配額審批。
透過相容 OpenAI 的端點服務大型語言模型以及影像、影片、音訊模型，也可自帶推論堆疊，由 Modal 負責底層基礎設施。
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。
專項更強專為生成式多媒體模型最佳化的超快速無伺服器執行環境，而非一般的 Python 程式碼。
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.
透過 Cog 可以更輕鬆地封裝模型，但不如 Modal 提供那麼多樣的無伺服器 Python 容器執行方式。
專項更強Combines ready-to-use model APIs and serverless GPU jobs, with simpler API consumption than custom Modal apps.
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.
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。
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。
