Key Features

• Burstable Instances for Machine Learning: Lets deployment of machine learning models on virtual machines with flexible CPU usage.
• Baseline CPU Utilization: OCI offers less than a typical CPU baseline suitable for varying workload demands. The options are 50% or 12.5%, so suitable for varying workload demands. If you deploy machine learning models, only the 50% baseline is available.
• Surge Capability: Can surge to higher levels during occasional spikes in server requests, adapting to changing computational needs.
• Comparison to Traditional VMs: Unlike traditional VM instances with fixed CPU resources, burstable instances maintain a standard CPU utilization level.
• User-Selected Baseline and Bursting: Lets users to select a baseline CPU utilization, with the capability to momentarily increase CPU usage above this baseline, up to 100% of the provisioned CPU cores.

For more information, see the Burstable Instances documentation and the Model Deployment Bustable VMs section of the Data Science documentation.