Deploy a new GPU virtual machine

The world's cheapest hourly cloud GPUs, pro-rated to the microsecond. Available in dozens of locations worldwide. From P4's to H100s, we have you covered. Contact support if you encounter any issues — we're here to help!

You can also become a host to monetize your own servers.

1. Choose a graphics card model

AI GPUs for Deep Learning by NVIDIA

Powerful GPUs for the most demanding training workloads. Available in secure data centers. Scroll horizontally for more options.

Consumer-grade GPUs by NVIDIA

Cost-effective, gaming GPUs available in large quantities for distributed computing and cloud gaming. Scroll horizontally for more options.

2. GPU Count

3. RAM (GB)

GB

4. CPU Count

vCPUs

5. NVMe SSD

GB

6. Select a Location

Available servers

With at least the requested resources

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Alternative in-stock GPUs

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8. Configure details

At least 8 characters long and contains at least 1 uppercase letter, symbol, or number. If you've set an SSH public key in your organization settings, leave this field blank to use SSH authentication. You can set an SSH public key here.


Configure port forwards

You may forward up to 0 ports. The external port is where requests will enter; the internal port is where you set the requests to be forwarded to. Please remember to include an SSH port (a port forwarded to port 22) or an RDP port (a port forwarded to port 3389) so that you will be able to access your instance once created.

External port

Internal port



Interruptible instance (documentation)

9. Payment options

Choose between on-demand and subscription billing.

Your Server

Pricing details will appear once you select a
location.

Your actual charge will be pro-rated to the
millisecond.

x

$/hr

GB RAM

$/hr

vCPUs

$/hr

GB NVMe SSD

$/hr


Running Cost

$/hr

Cost per hour when the VM is running.

Stopped Cost

$/hr

Cost per hour when the VM is stopped.


Email us at [email protected] if you are
interested in saving 40% with a long-term contract



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