Autonomous machine development is an iterative process of data generation and gathering, model training, and deployment characterized by complex multi-stage,…
Autonomous machine development is an iterative process of data generation and gathering, model training, and deployment characterized by complex multi-stage, multi-container workflows across heterogeneous compute resources. Multiple teams are involved, each requiring shared and heterogeneous compute. Furthermore, teams want to scale certain workloads into the cloud…
What is the interest in trillion-parameter models? We know many of the use cases today and interest is growing due to the promise of an increased capacity for:…