Deploy a GPU Server Public Beta

Hourly cloud GPU VMs. Available with our TensorML 18.04 template that only requires 1 command (jupyter notebook --ip=0.0.0.0) to start a Jupyter Notebook!
Fully dedicated resources. Deploy in in Chicago, New York, or Las Vegas. Email support@tensordock.com 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

Each GB of allocated NVMe SSD space costs $0.0001/hour. To deploy Windows 10, please allocate at least 80 GB. Contact us to add additional options.


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

$0.000/hour

4 GB RAM

$0.020/hour

2 vCPUs

$0.020/hour

20 GB NVMe SSD

$0.002/hour

Chicago, USA

$0.000/hour

TensorML 18.04 LTS

$0.000/hour


Stock Deployable

Stock Reservable

Learn more here.


Running Cost

$0.042/hour

Cost per hour when the VM is running.

Stopped Cost

$0.002/hour

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.