How CTOs Should Evaluate Open vs Closed AI Models | Frank Nagle, Linux Foundation
Frank Nagle, Chief Economist at The Linux Foundation, provides a concrete decision framework for CTOs evaluating open ...
How vCluster Turns 20% GPU Utilization Into 80% Through Multi-Tenancy | Simone Morellato
Simone Morellato of vCluster reveals how multi-tenancy transforms GPU sharing, enabling organizations to jump from 20% to ...
Why vCluster Was Already Ready for GPU Workloads | Simone Morellato
vCluster didn't redesign for AI workloads. Simone Morellato reveals how the platform's foundational multi-tenancy architecture made GPU ...
How Akamai & Fermyon’s Shared Vision Is Reshaping Edge-Native Development | Ari Weil, Matt Butcher
Akamai and Fermyon discovered they shared the same vision from opposite directions. Now, their combined roadmap ...
Why AI Teams Are Becoming Data Teams: Airbyte’s Teo Gonzalez on the Future of Data Infrastructure
In this clip, Airbyte’s Teo Gonzalez outlines why AI workloads require context-rich, schema-aware data and how data ...
Plan Your Cloud Exit Before You Start: Cost Intelligence Strategy from Akamai
John Bradshaw reveals why the best cloud strategies plan for exit before entry, using core-edge architecture ...
Why GPU Workloads Are Forcing Kubernetes to Evolve Beyond Its Original Design | Simone Morellato
AI workloads aren't just another Kubernetes trend. vCluster's Simone Morellato explains why GPUs require fundamental changes to ...
Cloud Exit Planning: Why Long-Term Contracts Need Emergency Budgets | John Bradshaw, Akamai
John Bradshaw of Akamai breaks down cloud concentration risk, exit planning strategies, and the evolution from FinOps ...
Why Open Source and Data Sovereignty Matter in the AI Era: Insights from Airbyte’s Teo Gonzalez
In this clip, Airbyte’s Teo Gonzalez explores why open source is essential for AI innovation and how ...
Why Enterprises Waste $25B on AI Models: The Real Factors Behind Adoption | Frank Nagle
The Linux Foundation's Chief Economist quantifies a $24.8 billion inefficiency in AI adoption and explains why organizations ...