Scaling AI Infrastructure

Scaling AI Infrastructure

From AI Ambition to AI at Scale: Engineering the Intelligent Enterprise

QT Singapore

Hosted by Factor

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

Agenda

Partners

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