--- title: "Instant compute for your most intensive workloads" date: "2026-10-07" time: "11:00" timezone: "Europe/Amsterdam" location: "Virtual Event (Zoom )" category: "Webinar" --- # Instant compute for your most intensive workloads - Date: Wednesday, October 7 - Time: 11AM - 12PM CEST (Europe) - Duration: 30-minute session + 15 minutes live Q&A ### ⁠⁠**Introducing ClickHouse On-Demand Compute** Have you ever needed extra compute for queries without wanting to resize the ClickHouse Cloud service already handling production traffic? With On-Demand Compute, you’re one setting away from routing eligible queries to additional ClickHouse workers through your existing service and endpoint, without resizing the service or provisioning another one. On-Demand Compute doesn’t ship alone. It also includes: - A cost-based optimizer (CBO) - A distributed query execution framework using multi-stage query execution ### **What the session covers:** Join Melvyn Peignon, Director of Product Management at ClickHouse, for a technical walkthrough and live demo. See how to use On-Demand Compute, where it fits alongside autoscaling and compute-compute separation, and why data lake queries are an especially strong fit. - How On-Demand Compute works: See how ClickHouse assigns temporary workers from a managed pool through your existing service. - Live demo: Watch an eligible select query request additional ClickHouse workers and review the allocation. - Where it fits: Explore use cases ranging from ad hoc queries to queries over your data lake, where On-Demand Compute is an especially strong fit. - Related features: Learn how the cost-based optimizer and multi-stage query execution distribute work across workers. - Private preview scope: Understand current capacity behavior, supported queries, and limitations. - Roadmap: Review the six-month roadmap for ClickHouse On-Demand Compute. - Live Q&A: Bring your questions for the ClickHouse team. ### **Who should attend** This session is for data engineers, analysts, platform teams, and architects using ClickHouse Cloud who want to evaluate additional compute for ad hoc analysis, selected non-critical reads, or supported data lake queries without resizing the primary service. Note: On-Demand Compute is in private preview. Support is limited to eligible select queries, worker availability is best effort, and ClickHouse Cloud SLOs and SLAs do not apply. **[Join the private preview](https://clickhouse.com/cloud/on-demand-compute-waitlist)**