A METHOD TO AUTOMATICALLY MANAGE AI TRAINING TASK ON HYBRID COMPUTING PLATFORM

Developing AI model is becoming more and more complex. Researchers need to manage heterogeneous computing resources to run their training tasks. We propose a system to manage all the heterogeneous computing resources and schedule AI training tasks. This system can greatly reduce researchers’ effort on managing resources and training tasks. With this system researchers can focus on developing AI models with lower cost and higher efficiency