Vespa Cloud roadmap

This page lists large upcoming features in Vespa Cloud. See also the Vespa roadmap.

Launching soon

  • Pre-trained machine-learned models available for embedding documents and queries in dense vector spaces for dense-retrieval using Vespa‚Äôs nearest neighbor search query operator support. These models also enable hybrid retrieval combining sparse and dense representations.

In progress

  • Choose to deploy in GCP zones in addition to AWS.
  • Allow applications to deploy applications running on nodes in their own AWS accounts.
  • Support Graviton nodes in AWS.
  • Pre-trained machine-learned models available for ranking.

Priority backlog

  • Support GPUs in container clusters.
  • Auto-sizing: Specify required capacity and performance rather than node resources.