New deployment solution released
New deployment solution released with persistent deployment availability. In beta mode, the deployment endpoint was automatically created for any experiment, and a deployed service with unique access token was available for 48 hours only. With the new solution, the user can determine the availability of the deployment service per each experiment. The user can choose which experiment checkpoint should be deployed and define the names of the input and output parameters as appropriate. Most importantly, the user has the power over enablement of deployed service – when the deployment is enabled, other services can send requests and receive responses from the model. When needed, the user can disable serving of a specific model deployment temporarily or permanently. For those curious, the platform operational AI tutorial comes with a simple web app that enables users to easily build, deploy and see the new persistent deployment capability in action.
These were the main updates on the Peltarion Platform for the past sprint – and a lot more is in the pipeline. We’ll continue to share updates on the progress of the Peltarion Platform every few weeks.