
Scaling AI Infrastructure
From AI Ambition to AI at Scale: Engineering the Intelligent Enterprise
QT Singapore
Hosted by Factor
- 80 attendees
- 2 hours
Overview
As enterprise AI moves from experimentation to production, infrastructure is becoming the defining factor in whether organisations can scale AI successfully. Technology leaders must support increasingly distributed AI workloads across hybrid environments while continuing to deliver the performance, security and resilience required for existing enterprise applications.
This roundtable will explore how organisations can build an intelligent infrastructure platform that combines high-performance compute, high-speed networking, automation and built-in security. We’ll discuss how HPE ProLiant Compute Gen12 powered by AMD EPYC processors is helping enterprises simplify infrastructure operations, improve resilience and create a scalable foundation for AI-driven innovation.
Discussion Points
AI at Scale – Moving from isolated AI pilots to secure, production-ready AI environments.
Intelligent Infrastructure – Bringing together compute, networking, automation and security to support modern workloads.
Hybrid AI Operations – Managing distributed AI workloads across datacentre, cloud and edge environments.
Performance and Resilience – Meeting the demands of AI while maintaining reliability across existing enterprise applications.
Lifecycle Simplification – Using intelligent automation to streamline infrastructure management and operations.
Future-Ready Platforms – Building a scalable and adaptive foundation for long-term AI innovation and business value.
What to expect
- Hours
- Senior Executives 10+
- Discussions Interactive
Agenda
- Delegate arrival & registration(Executive Luncheon) Welcome on arrival. Enjoy a moment to connect informally with fellow attendees before the session begins.
- Welcome drinks & refreshments(Executive Luncheon) networking break with light refreshments as we prepare for the session ahead.
- Opening remarks(Executive Luncheon) Why Agentic Brand Control Matters Now AI has moved from helping teams create to acting across real workflows. The risk is no longer speed — it is control, trust, data access and brand quality. The leadership question: how much autonomy can AI agents have before governance breaks?
- Interactive discussions(Executive Luncheon) Scaling AI Creation Without Losing Control Where AI agents should be allowed to create, edit, personalise and publish. How to keep outputs on-brand, accurate, permissioned and compliant at scale. How to govern AI creation without slowing teams back down.
- Closing remarks(Executive Luncheon) From Creative Speed to Enterprise Confidence What needs to be in place before AI agents become trusted across the business. How leaders balance innovation, oversight, security and adoption. The next step: moving from AI tools to governed AI workflows.
- Networking drinks & end of session(Executive Luncheon) An opportunity to continue conversations in an informal setting to wrap up the session.
Partners
- Hewlett Packard Enterprise Official LinkedIn of Hewlett Packard Enterprise, the global edge-to-cloud company. Sharing our passion and purpose through technology and innovation.
- AMD We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_
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