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AI deployment planner

Plan your AI on GPUs. In two minutes.

Use an AI model, fine-tune one on your data, or train your own. Answer a few questions and we pick the model and the GPUs, predict speed, time, power and cost, and help you switch it on. Your data stays on servers you control.

  1. 1Your questions
  2. 2The model
  3. 3The GPUs
  4. 4Own vs pay per use
  5. 5Switch it on
  6. 6Health check

1. What do you want to do?

or pick one

2. What are you building?

3. Where will it run?

4. A few details

How much text goes in with each question?
Answer length
Answer speed
Quality versus cost
Step 2

The AI model

Open models you can run on your own servers, so no data goes to an outside AI company. The first one is our pick for your use case. Click another to compare, or bring your own.

Step 3

The GPUs

Compare every GPU we checked
Step 4

When does owning pay off?

Pay-per-use AI APIs are cheap to start and get expensive as you grow. Your own GPUs cost the same each month however busy they are, and your data never leaves your servers.

Show as a table

Step 5

Switch it on

Let our engineers do it, or do it yourself with ready-made setup files. Either way it runs on servers you control, and we never see your data.


            

              

                Get the full setup files
                
Free. We email you a 6-digit code to confirm it's you, then the files open right here. If you get stuck, our engineers can help.

                

                  
                  
                  
                  
                

                
                
              

              
              

              
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Step 6

        
Health check

        
How the setup should behave at your busiest moment, in plain traffic-light colours. Move the slider to see what happens if usage grows. Once it is live, the Grafana dashboard in the deploy files shows the same numbers measured for real.