Speaking at Red Hat Summit 2026: GPUs Take Flight with NVIDIA and OpenShift AI

🎤 I’m Speaking at Red Hat Summit 2026!

I’m thrilled to announce that my proposal has been accepted for Red Hat Summit 2026 in Atlanta, Georgia! Out of a highly competitive pool of submissions, my lightning talk on GPU multi-tenancy and platform engineering was selected — and I couldn’t be more excited to share our production experience with the Red Hat community.

🎬 Watch the Video

📅 Session Details

🚀 Talk: GPUs Take Flight — Safety-First Multi-Tenant Platform Engineering with NVIDIA and Red Hat OpenShift AI

Abstract

As organisations race to deploy AI/ML workloads, GPU infrastructure is becoming the most expensive and contested resource in enterprise IT. This lightning talk distils real-world lessons from building a safety-first, multi-tenant GPU platform using NVIDIA hardware and Red Hat OpenShift AI.

What You’ll Learn

• Multi-Tenant GPU Isolation: How to share GPU resources across teams safely, without noisy-neighbour problems
• Platform Engineering Patterns: Building self-service GPU platforms that data scientists actually want to use
• NVIDIA + OpenShift AI Integration: Practical guidance on combining NVIDIA GPUs with Red Hat’s AI/ML platform
• Safety-First Architecture: Guardrails, quotas, and policies that prevent runaway workloads from burning through your GPU budget
• Production Lessons: Battle-tested patterns and pitfalls from running multi-tenant GPU workloads at scale

🎯 Why This Talk Matters

GPU compute is the engine behind the AI revolution — but sharing it safely across multiple teams and workloads remains one of the hardest unsolved challenges in platform engineering.

For Platform Engineers

• Build GPU platforms with confidence: Learn isolation patterns that go beyond basic namespace quotas
• Self-service done right: Enable data science teams to provision GPU workloads without compromising cluster stability
• Day-2 operations: Observability, chargeback, and lifecycle management for GPU infrastructure

For AI/ML Teams

• Maximise GPU utilisation: Move from single-tenant waste to efficient multi-tenant sharing
• Faster time to production: Platform engineering patterns that reduce the gap between experimentation and deployment
• Cost transparency: Understand exactly what your GPU workloads cost and how to optimise spend

For Decision Makers

• Enterprise-grade GPU strategy: How Red Hat OpenShift AI and NVIDIA create a production-ready foundation
• Risk mitigation: Safety-first architecture patterns that protect your investment and your SLAs

This isn’t a vendor pitch — it’s an experience report from the trenches of GPU platform engineering. Every recommendation comes from real production workloads.

🔗 Register for Red Hat Summit 2026

Red Hat Summit is the premier enterprise open-source technology event, bringing together thousands of IT professionals, developers, and business leaders.

👉 Register at summit.redhat.com

🌍 What Is Red Hat Summit?

Red Hat Summit is Red Hat’s flagship annual conference — the premier event for enterprise open-source innovation. It brings together customers, partners, community contributors, and Red Hat engineers to explore the latest in hybrid cloud, AI/ML, automation, and security.

By the Numbers

Why Red Hat Summit Matters

Red Hat Summit is where the future of enterprise open source is shaped. It’s where:

• Product roadmaps are revealed and discussed with the engineers who build them
• OpenShift, RHEL, Ansible, and AI/ML innovations are previewed first
• Enterprise adoption patterns are shared through real-world customer case studies
• The AI on OpenShift movement is accelerating — GPU orchestration, model serving, and MLOps at enterprise scale
• Partner ecosystem solutions from NVIDIA, Dell, Intel, AWS, and more are showcased

Event Agenda Highlights

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🙏 Thank You

A huge thank you to the Red Hat Summit content team for selecting this talk! I’m looking forward to sharing production-tested patterns for GPU multi-tenancy with the Red Hat community.

See you in Atlanta! 🇺🇸

🔗 Related

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Have questions about GPU platform engineering or OpenShift AI? Drop a comment or reach out on social media — I’m always happy to chat about multi-tenant GPU infrastructure!