Deploy GPU compute and model endpoints from one console.
OneInfer Cloud connects the GPU marketplace, persistent storage, dedicated model endpoints, and intelligent routing. Choose the infrastructure your workload needs without building a separate provisioning workflow for every provider.
What you can deploy with OneInfer Cloud
On-demand GPU instances
Compare available GPU types, providers, regions, VRAM, and hourly prices. Select the capacity that fits training, development, or custom inference workloads.
Dedicated model endpoints
Deploy a supported public, private, or fine-tuned model with selected compute, region, worker limits, request concurrency, and scaling configuration.
Intelligent API endpoints
Attach dedicated or serverless endpoints behind one API endpoint and configure routing for the models and infrastructure used by your application.
Cloud deployment capabilities available in OneInfer
GPU marketplace
Search and filter available GPU capacity by GPU model, provider, region, memory, availability, and price before creating an instance.
Configurable endpoints
Choose a model template, GPU, provider, region, minimum and maximum workers, scaling mode, and concurrency for each deployment.
Persistent storage
Create and manage regional storage volumes for model files, datasets, checkpoints, and workloads that need data beyond an instance lifecycle.
Instance lifecycle controls
Create, inspect, start, stop, and delete supported GPU instances from the console, with instance state and connection details kept in one place.
OneInfer API access
Manage API keys in the same account and direct requests to the model or endpoint selected for your application.
Usage and credit visibility
Keep deployment access, account credits, API usage, and infrastructure controls together instead of maintaining separate provider accounts and billing views.