Creating hardware specifications for deployments

You can create hardware specifications for your deployments in the following ways:

• Python client library: Use the hardware_specifications.store function from the Python client library. For more information, see Python client library reference
• Data and AI Common Core API: Use POST /v2/hardware_specifications from the Environments list in the Data and AI Common Core API to create a hardware specification. For more information, see Environments API reference.

Deployment types that require hardware specifications

Selecting a hardware specification is available for all batch deployment types. For online deployments, you can select a specific hardware specification if you're deploying:

• Python Functions
• Tensorflow models
• Models with custom software specifications

Hardware configurations available for deploying assets

• XS: 1x4 = 1 vCPU and 4 GB RAM
• S: 2x8 = 2 vCPU and 8 GB RAM
• M: 4x16 = 4 vCPU and 16 GB RAM
• L: 8x32 = 8 vCPU and 32 GB RAM
• XL: 16x64 = 16 vCPU and 64 GB RAM

You can use the XS configuration to deploy:

• Python functions
• Python scripts
• R scripts
• Models based on custom libraries and custom images

For Decision Optimization deployments, you can use these hardware specifications:

• S
• M
• L
• XL

Learn more

• Monitoring account resource usage

Parent topic: Managing predictive deployments