fal.ai
Explore fal.ai for fast inference APIs that run image, video, and audio generative models—built for developers who need production-ready media pipelines.
Explore AutoDL GPU cloud for on-demand RTX, A100, and H100 rentals—pay-as-you-go instances, community images, and China-friendly billing at autodl.com.

Use generative APIs, IDEs, agent harnesses, or 3D studios on Uwarp when renting raw GPU VMs is not the job.
Details below the decision summary—features, workflow, and scope notes.
Reviewed on 24 August 2026 · AutoDL — pricing docs
On-demand GPU instances
Rent RTX-class and datacenter GPUs (including A100 / H100 families when in stock) as container instances.
Pay-as-you-go billing
Charge by the second for running GPUs; stop the instance to stop GPU charges while storage fees may continue.
Community images
Start from shared environments for deep learning, diffusion UIs, and common ML stacks instead of bare OS installs.
Storage options
Expandable data disks, file storage, and related products billed separately—confirm current catalog in docs.
APIs for automation
Pro instance APIs support programmatic create/manage flows for power users and teams.
Student and member pricing
Verified students and membership promotions can reduce effective GPU rates—confirm eligibility on-site.
Register and recharge
Create an AutoDL account and top up via the official recharge channels (publisher warns against off-platform payments).
Pick a GPU and image
Choose a region, GPU model, and a community or custom image that matches your stack.
Launch the instance
Start the container, then connect with Jupyter, SSH, or the console tools AutoDL provides.
Train or generate
Run fine-tuning, inference experiments, or creative pipelines on the rented GPU.
Stop when idle
Shut down the GPU to avoid compute charges; download important artifacts and manage disk retention costs.
Students and researchers
Burst GPU capacity for coursework and papers with student discounts when verified.
Indie ML and generative AI makers
Fine-tune models or run ComfyUI / diffusion stacks on short-lived RTX/A100 instances.
China-based teams
Prefer local payment rails, Chinese support, and domestic regions over overseas GPU marketplaces.