Enterprise AI is moving from pilots to production, and the infrastructure choices made today will decide who scales and who stalls. Sit down with peers to compare notes on performance, data readiness, governance and cloud economics, candidly and without the sales pitch.
An invite-only, closed-door conversation for CIOs, CTOs, cloud architects and data leaders, built around shared experiences and practical lessons on running AI workloads with Oracle Cloud Infrastructure.
Keynotes tell you what is possible. Leaders also need to hear what actually worked, what broke, and what it cost. This roundtable brings a small group of enterprise decision-makers together to talk openly about the infrastructure, data and governance realities behind AI at scale.
Oracle Cloud Infrastructure (OCI) offers a useful lens for the discussion: bare-metal GPU clusters, high-speed RDMA networking, and AI-ready data services that run across public, hybrid and multi-cloud estates. Participants will weigh these capabilities against the practical trade-offs their own teams face.
Peer-tested perspectives on unifying data, models and infrastructure under a simpler, more predictable cloud foundation, plus a network of leaders tackling the same questions.
Five recurring obstacles that keep enterprises from turning AI ambition into measurable returns, and the questions each one raises.
How are leaders keeping egress charges and training bills predictable once AI workloads move from experiments to everyday operations?
With data spread across clouds and legacy systems, what does it really take to make it ready for Retrieval-Augmented Generation (RAG)?
What approaches let teams shift mission-critical, always-on workloads without downtime, data loss or new security exposure?
How do organizations protect proprietary IP and meet compliance demands while still moving fast on generative AI initiatives?
Hypervisor overhead and capacity constraints slow model training. Where does bare-metal GPU infrastructure with ultra-low latency networking make the biggest difference, and when is it overkill?
Three capability areas will anchor the conversation, each open to challenge, comparison and real-world feedback from the room.
Dense GPU clusters on dedicated cluster networks with no hypervisor in the way, built for demanding deep learning workloads.
Relational data and vector search together in one engine, simplifying RAG and keeping sensitive data under a single governance model.
Uniform global pricing and low egress costs that make total cost of ownership (TCO) easier to forecast and defend.
Join us at The Leela, Bengaluru on 17th November 2026 for a focused, peer-led executive discussion.
A deliberately small group of senior technology and business leaders, so every voice gets heard.
A seasoned moderator steers an open, off-the-record exchange of experiences, wins and missteps.
Continue the conversation with fellow executives over lunch and build relationships that last beyond the day.
CIOs, CTOs, CDOs, heads of cloud and infrastructure, enterprise architects, and AI and data leaders shaping their organization's cloud and AI roadmap.
The themes participants will explore together, guided by what the room wants to dig into.
Request your seat at The Leela, Bengaluru on 17th November 2026. Take part in an honest, peer-led conversation on rethinking cloud architecture for enterprise AI.
