
GPU rental platform operated...
GPU rental is split into containers, cloud hosts, and whole machines, for short jobs, a dedicated card, or several cards in one server. Hourly containers emphasize start-on-demand and one-click deployment, which fits training or inference whose duration is uneven. A cloud host keeps one card to itself and includes preinstalled software. The page says capacity can expand when traffic rises. Business users can request an electronic invoice, pay by corporate transfer, and sign a contract. It fits teams that need to run training, inference, or rendering without buying hardware first.
Mornai Cloud is a GPU rental platform operated by Shanghai Mornai Intelligent Technology. It offers cloud containers, cloud hosts, and whole-machine rental of multi-GPU servers. The catalog lists data-center and consumer cards with memory sizes. Containers are billed by the hour and support one-click deployment. Cloud hosts provide a dedicated GPU and preinstalled software. The site also includes a model API, an image center, and business services such as invoices, corporate transfer, and contracts.
Difficulty: Intermediate
Hourly cloud containers
Cloud containers bill by the hour and support one-click deployment for training or inference jobs whose length is not fixed.
Dedicated-GPU cloud hosts
Cloud hosts offer a dedicated GPU and preinstalled software for development or rendering that needs the same card for a long stretch.
Catalog of GPU models
The marketplace lists data-center cards and several consumer cards, with memory sizes, so a job can be matched to a specification.
Whole machines and business service
Multi-GPU physical machines can be rented whole. Electronic invoices, corporate transfers, and contracts are available, along with a technical support contact.
Rent a GPU for a training job
An engineer opens a cloud container for the expected duration, runs a training or inference job, and stops billing when it ends.
Render on a dedicated card
A visual artist uses a dedicated-GPU host with preinstalled software and finishes modeling and rendering in that environment.
Add capacity during a spike
Operators expand compute through elastic scheduling when traffic rises, instead of buying new machines immediately.
Containers are billed by the hour and emphasize one-click, ready-to-use deployment for jobs of uneven length. Cloud hosts provide a dedicated GPU and preinstalled software when you need the same card for longer. Whole multi-GPU machines are a third option. Choose by whether the job should stop when it finishes or needs a stable machine of its own.
Yes. The business section lists electronic invoices, corporate bank transfer, and contracts, and it mentions professional data centers plus downtime monitoring. Support is described as available around the clock. Invoice titles, tax details, and contract terms are confirmed at order time or with support; the homepage does not spell out every step.
The marketplace lists data-center cards and several consumer cards, including H100, A800, A100, and RTX 4090, 4080S, 3090, 3080, and 3060, with memory sizes. Availability is whatever the marketplace shows; the homepage specifications do not mean every card can be started immediately. Parallel-compute figures are printed on each card.
Real reviews and feedback from users