Webinar: The AI Database for Agentic Workloads

Agentic AI is raising the bar for what “modern” database infrastructure needs to handle. It is not only higher throughput. It is also burstier, more variable workloads, more short-lived environments, and faster iteration cycles driven by agents that create demand spikes and operational churn.

In this webinar, we’ll show how TiDB is built to meet that reality for teams that need to move fast without inheriting enterprise-level overhead. We’ll walk through how TiDB helps reduce cost surprises, simplifies operations through a unified platform (transactions + analytics + AI-ready capabilities), and stays resilient as workload patterns shift.

You’ll walk away with guidance on:

• Designing for agent-driven burstiness and hyper-elastic demand (and what to prioritize in the data layer)
• Consolidating transactional, analytical, and AI workloads to cut pipeline sprawl and operational overhead
• Scaling without re-architecting as tenants, data, and traffic grow (no sharding-first mindset)
• Keeping costs aligned with real usage by minimizing idle capacity and improving cost predictability during spikes

🎙 Ed Huang (Co-founder & CTO, PingCAP) & Liya Du (Product Manager, TiDB)

Register now: https://www.pingcap.com/event/the-ai-database-for-agentic-workloads-how-tidb-cuts-cost-spikes-and-ops-complexity/