Litbit helps customers turn their "Internet of Things" into conscious personas that can learn, think and do helpful things. Customers can train their AI personas using sight, sound, touch and other sensors to recognize specific situations. Since different customers may be training different AI personas at different times, the training load tends to be bursty and unpredictable. Some of these training jobs (e.g., Spark ML) make heavy use of CPUs, while others (e.g., TensorFlow) make heavy use of GPUs. In the latter case, some jobs retrain a single layer of the neural net and finish very quickly, while others need to train an entire new neural net and can take several hours or even days.