Elastic Expands Cloud Connect with GPU-Powered Inference for On-Premises Search
Event summary
- Elastic launched Elastic Inference Service (EIS) via Cloud Connect for self-managed Elasticsearch deployments on February 3, 2026.
- The service provides on-demand GPU-based inference capabilities while keeping core infrastructure and data on-premises.
- Customers gain immediate access to Jina.ai's open-source models for multilingual and multimodal embeddings.
- EIS via Cloud Connect is available immediately for Elastic Enterprise self-managed customers on Elastic Stack 9.3.
The big picture
This move aligns with the broader industry trend of hybrid cloud adoption, where enterprises seek to balance on-premises control with cloud-based AI capabilities. By offloading GPU-intensive tasks to its managed fleet while keeping data on-site, Elastic is addressing a key friction point for customers hesitant to fully migrate to public cloud solutions. The integration of Jina.ai's models further strengthens Elastic's position in the growing semantic search market.
What we're watching
- Adoption Pace
- How quickly self-managed Elasticsearch customers will migrate to the new GPU-powered inference service.
- Competitive Response
- Whether competitors like AWS, Google Cloud, or Microsoft Azure will introduce similar hybrid cloud-inference solutions.
- Revenue Impact
- The extent to which this offering will drive subscription revenue growth for Elastic's enterprise customers.
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