Managing hardware configurations

Last updated: Oct 09, 2024

When you deploy certain assets in Watson Machine Learning, you can choose the type, size, and power of the hardware configuration that matches your computing needs.

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