Vespa Cloud
Vespa Cloud provides the infrastructure, automation, and support required to run Vespa applications reliably and efficiently in production environments.
Vespa Cloud is a managed, production-ready platform for deploying Vespa applications at scale—developed and operated by the team behind Vespa. It removes the operational burden of managing infrastructure, automating everything from upgrades and security to performance tuning and support. With Vespa Cloud, you can focus on building and iterating on your application while relying on a robust, scalable foundation.
Operating Vespa at scale involves more than just spinning up nodes—it requires continuous availability, secure upgrades, fault detection, and resource optimization. Vespa Cloud automates routine operational tasks including:
Vespa Cloud engineers monitor systems proactively and respond to critical issues 24/7, reducing operational risk and cost.
Vespa Cloud includes access to the core Vespa team for operational and performance tuning:
These capabilities help optimize both cost and application performance.
Deploy updates confidently using the built-in CD pipeline:
Vespa Cloud provides full control over deployment timing and scope, ensuring safe upgrades even for mission-critical workloads.
Security in Vespa Cloud is handled by the Vespa team and includes:
This eliminates the need to build and maintain custom security frameworks.
Applications running in Vespa Cloud can automatically scale to match workload:
Autoscaling ensures service quality while optimizing infrastructure spend.
The Vespa Cloud experience is designed for developers:
Vespa Cloud accelerates experimentation and simplifies production readiness.
*On-premises Vespa deployment with support is available. Contact us for more details.
Follow these steps to deploy an application in the Vespa Cloud dev zone.
Learn how to create your first Vespa application in this Getting Started Guide.
Vespa provides all the building blocks of an AI application, including vector database, hybrid search, retrieval augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLM).
Vespa unifies search, recommendation, and personalization in one platform. This streamlined approach reduces complexity, accelerates development, and enables more cohesive, effective solutions—no more siloed thinking.
Build AI applications that meet your requirements precisely. Seamlessly integrate your operational systems and databases using Vespa’s APIs and SDKs, ensuring efficient integration without redundant data duplication.
Achieve precise, relevant results using Vespa’s hybrid search capabilities, which combine multiple data types—vectors, text, structured, and unstructured data. Machine learning algorithms rank and score results to ensure they meet user intent and maximize relevance.
Enhance relevance and personalization by leveraging Vespa’s real-time tensor operations. Go beyond keyword matching with support for vectors from text, images, location, and other complex data sources.
Enhance content analysis with NLP through advanced text retrieval, vector search with embeddings and integration with custom or pre-trained machine learning models. Vespa enables efficient semantic search, allowing users to match queries to documents based on meaning rather than just keywords.
Search and retrieve data using detailed contextual clues that combine images and text. By enhancing the cross-referencing of posts, images, and descriptions, Vespa makes retrieval more intelligent and visually intuitive, transforming search into a seamless, human-like experience.
Ensure seamless user experience and reduce management costs with Vespa Cloud. Applications dynamically adjust to fluctuating loads, optimizing performance and cost to eliminate the need for over-provisioning.
Deliver instant results through Vespa’s distributed architecture, efficient query processing, and advanced data management. With optimized low-latency query execution, real-time data updates, and sophisticated ranking algorithms, Vespa actions data with AI across the enterprise.
Deliver services without interruption with Vespa’s high availability and fault-tolerant architecture, which distributes data, queries, and machine learning models across multiple nodes.
Seamlessly handle increased demand with Vespa’s horizontal and vertical scaling capabilities, adding capacity on-demand to maintain peak performance during high-traffic periods.
Bring computation to the data distributed across multiple nodes. Vespa reduces network bandwidth costs, minimizes latency from data transfers, and ensures your AI applications comply with existing data residency and security policies. All internal communications between nodes are secured with mutual authentication and encryption, and data is further protected through encryption at rest.
Avoid catastrophic run-time costs with Vespa’s highly efficient and controlled resource consumption architecture. Pricing is transparent and usage-based.
Run real-time AI search and inference at scale—without the infrastructure overhead. Built by the team behind Vespa, this fully managed platform handles upgrades, tuning, and security so you can focus on delivering fast, accurate, and flexible applications.