Deploy a GPU Server

Hourly cloud GPU VMs. Available with our TensorML 20.04 template that only requires 1 command (jupyter notebook --ip=0.0.0.0) to start a Jupyter Notebook!
Fully dedicated resources. Deploy in Chicago, New York, or Las Vegas. Contact support if you encounter any issues — we're here to help!

2. Select how many GPUs

Check our instance restrictions page for limits on how many GPUs can be selected for each GPU type.

3. Customize RAM amount

RAM costs $0.005/GB/hour. Check our instance restrictions page for limits. Contact us to add additional options.

4. Customize vCPU count

Each vCPU (1 CPU thread) costs $0.01/vCPU/hour. Check our instance restrictions page for limits. Contact us to add additional options.

5. Customize storage

Storage Amount

Contact us to add additional options.

Storage Class

Learn more about our storage classes. Note: deploying Windows 10 VMs on HDD storage is NOT recommended.


6. Select a location

Not all locations will be available for a selected machine configuration. Learn more about our data centers.

8. Configure details

Your Server

Your actual charge will be pro-rated to the
minute

1x Undefined GPU

$0.0000/hour

2 GB RAM

$0.0100/hour

1 vCPUs

$0.0100/hour

20 GB NVMe SSD

$0.0020/hour

Chicago DC1, USA

$0.0000/hour

TensorML 20.04 LTS

$0.0000/hour


Stock Deployable

Stock Reservable

Learn more here.

We don't know the exact stock at the moment, but your selected machine configuration should be available. If your server isn't provisioned within 10 minutes, delete it and contact support.


Running Cost

$0.0420/hr

Cost per hour when the VM is running.

Stopped Cost

$0.0020/hr

Cost per hour when the VM is stopped.


Email us at sales@tensordock.com if you will
spending over $10k/month and are interested in
a long term contract. Save 25% with a 12 month
commit and 40% with a 24 month commit.