RunPod vs Union.ai

Chuyên sâuProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.

Chuyên sâuSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.

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.

Thuê GPU đám mây theo từng giây từ chợ toàn cầu

Hạ tầng đám mây serverless cho khối lượng công việc AI và dữ liệu

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.

Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod.

Miễn phí / Mã nguồn mởUtilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.

Chuyên sâuCung cấp suy luận mô hình serverless cực kỳ tiết kiệm, nhưng không cung cấp cho thuê container GPU thô cho các tác vụ huấn luyện tùy chỉnh.

Đám mây AI do đội ngũ tạo ra PyTorch Lightning xây dựng

Combines serverless model APIs with on-demand GPU instances, offering a similar developer experience at competitive global price points.

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.