Tag: EDA Simulation

The generative artificial intelligence (AI) transformation is driving unprecedented demand for chips that are required to train and run increasingly sophisticated machine learning (ML) models. In response, the semiconductor industry is designing advanced node chips that are more complex and have more transistors than ever before. For instance, the latest Nvidia Blackwell 4nm chip contains […]

Introduction Designing semiconductor requires High Performance Computing (HPC) to run Electronic Design Automation (EDA) tools. These workloads vary over time in both the amount and type of compute resources required. This makes it an ideal workload for the elasticity of the cloud. Customers choose optimal instance types to optimize each tools runtime. This reduces time-to-results […]