Skip to content
GPU CLOUD / HOURLY BILLING / USD

WORKLOADS / INFERENCE

GPU for inference

Choose a GPU for running your model. Consider weight size, context length, concurrent requests and budget. Benchmark your actual workload before scaling.

  • Inference

BEFORE YOU LAUNCH

A configuration that fits your work

Memory for the model

Account for weights, context and cache with your chosen model format.

Measure latency

Test real requests. GPU specifications alone do not guarantee response times.

Budget for demand

Compare the hourly rate and runtime with the request volume you expect.

FIND YOUR CONFIGURATION

GPU rental & pricing

Hourly billing · USD

Checking configurations and prices…

Choose a configuration in the catalog. Check the current rate and terms in the dashboard before launch.

Full catalog

FROM SELECTION TO LAUNCH

What will your run cost?

Choose your GPU, set up the environment and estimate your budget. All here, step by step.

Starting requires enough balance for 1 hour. Reviewing price and balance does not launch an instance: final confirmation is separate.

Configure & estimate
  1. 01 / Configure
  2. 02 / Settings
  3. 03 / Estimate

Choose a GPU to configure your server and estimate its cost.

YOUR NEXT STEPS

From requirements to a first test

  1. Define the requirements

    Start with model size, GPU memory, storage and the software you plan to use.

  2. Compare available offers

    Check current prices and availability in the catalog, then review the configuration in your dashboard.

  3. Configure and test

    Prepare your environment and run a small test before committing to a longer workload.

FAQ

Questions before you start

Where can I check current prices?

Use the catalog and verify the final configuration and price in your dashboard before launching.

Is the software already installed?

This page does not guarantee a preinstalled environment. Check the selected image and install or configure your software when needed.