最佳 Cerebrium 替代方案與競爭對手

面向 AI 開發者的 GPU Pod、Serverless 推論與叢集雲平台

為 AI 與資料工作負載打造的无伺服器雲端基礎設施

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.

由 PyTorch Lightning 創建團隊打造的 AI 雲端平台

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.

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。

編排全球閒置消費級 GPU 的分散式 GPU 雲

從全球市集以秒為單位租用雲端 GPU

面向 200+ 開源模型的低成本無伺服器推論 API

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.

一個雲端囊括 200 多個模型 API、代理沙箱與 GPU 算力

General Compute is an inference cloud built around alternative AI silicon rather than standard GPU fleets. The company buys racks of accelerators, racks them in colocation data centres, and handles the cooling, power, and networking itself. On top of that hardware it runs a disaggregated inference stack that splits each request: prompt processing runs on NVIDIA GPUs for prefill, while token generation runs on faster decode chips such as Cerebras, SambaNova, Positron AI, and d-Matrix. Customers get bare metal access or a tokens-per-second SLA.