Environments - Simulator Training Infrastructure-as-a-Service
Users can then leverage our Infrastructure-as-a-Service called Environments, which is a part of Siml.ai platform. With one click, you can start training AI-based physics simulators on servers with one or multiple GPUs - our software can handle server nodes with hundreds of GPUs.
Figure 1.: Simulator training in the cloud on GPU-based servers, deployed through our Environments.
We provide extensive monitoring capabilities for hardware utilization, infrastructure usage and training progress.
Figure 2.: Latest activity displayed in the Overview page.