Call modelbit.add_job() in any data science notebook or Python environment to train your ML models with on-demand GPUs.
Learn MoreModelbit makes it easy to schedule ML model retraining jobs on a regular basis. Jobs run in the same environment as the deployment, using the same Python and system packages.
Learn MoreTraining jobs can be customized to deploy new versions of the model, run on a schedule, as well as refresh the datasets they depend on.
Learn MoreYou can track training progress in Modelbit, or send your training job's logs to your favorite ML tools like Weights & Biases or neptune.ai.
Track in neptune.aiTrack in Weights & Biases