Elastic announced an expansion of its Elastic Inference Service (EIS), making GPU‑accelerated inference available through Cloud Connect for self‑managed Elasticsearch deployments. The service lets customers offload GPU‑based embedding and reranking workloads to Elastic’s managed GPU fleet while keeping their data on‑premises, eliminating the need to provision and maintain local GPU hardware.
The announcement follows Elastic’s October 2025 acquisition of Jina AI and the general availability of EIS earlier that month. By integrating Jina’s reranker technology, Elastic now offers two new models: Jina Reranker v2 (jina‑reranker‑v2‑base‑multilingual) for scalable agentic workflows and Jina Reranker v3 (jina‑reranker‑v3) for high‑precision shortlist reranking. Both models deliver low‑latency, multilingual relevance improvements for hybrid search, retrieval‑augmented generation, and AI agent applications.
This expansion positions Elastic as a more complete AI‑enabled search platform. Enterprises can now enhance search quality and RAG performance without investing in new GPU infrastructure, thereby accelerating the adoption of generative‑AI workloads across their on‑premises environments.
The announcement came amid a period of negative sentiment driven by concerns about Elastic’s operating income, margin compression, and annual recurring revenue growth. Analysts have lowered price targets and expressed caution about the company’s near‑term financial outlook. The product launch is part of Elastic’s broader strategy to strengthen its AI portfolio after acquiring Jina AI, aiming to capture a larger share of the growing AI‑search market.
The content on EveryTicker is for informational purposes only and should not be construed as financial or investment advice. We are not financial advisors. Consult with a qualified professional before making any investment decisions. Any actions you take based on information from this site are solely at your own risk.