KServe provider refreshes model catalog and adds new presets

The KServe provider’s built-in model catalog has been refreshed with updated presets for popular open-source large language models.

Previously, deploying a new model required manually specifying image references, resource requirements, and inference parameters. The updated presets let you launch common LLMs with a single selection, reducing configuration time and the chance of mismatched settings.

The refreshed model catalog is available now in the KServe provider. To learn more, see the release notes.