Scaling, Optimization & Cost Reduction for LLM/RAG & Enterprise AI
Live session with Vincent Granville, Chief AI Architect and Co-founder at BondingAI.
Scaling databases is a tricky balance. Teams need speed and reliability, but costs keep rising. From runaway infrastructure bills to overprovisioned clusters and slow queries, companies often spend more without seeing better performance. Join for a practical session on how to reduce database total cost of ownership (TCO) without sacrificing performance. Vincent will share strategies that leading organizations are using to control costs, optimize systems, and scale efficiently, in the context of Enterprise AI.
You will learn where most teams overspend, how to optimize resources, and how to scale smarter. Along the way, you will hear examples of businesses that consolidated systems, reduced overhead, and improved performance. The presentation will feature efficient optimization techniques including best kept secrets in the context of no-Blackbox specialized language models (LLMs, SLMs, RAG) for enterprise.
What You Will Learn:
- The biggest drivers behind high database TCO and how to address them
- Approaches to cut infrastructure, licensing, and operational costs
- Speeding up deployment in the context of trustworthy & secure AI for enterprise
- Performance tuning techniques that prevent overprovisioning
- Examples of teams that achieved more scalability with fewer resources
Audience
CTOs, engineering leaders, database Admins, finance and IT decision-makers. If you are responsible for technical strategy or budget alignment, this webinar will give you insights you can put into action right away. Recording will be available to participants who cannot attend the live event due to schedule conflicts.
PowerPoint presentation available here.
