
Javier Abrego
AI Infrastructure Architect, InferenceKey
Javier Abrego is a lead software engineer with over 15 years of experience building scalable distributed systems and cloud-native platforms. He has worked at companies such as VMware, Adidas, Hewlett-Packard, and EDS, focusing on resilient and high-performance systems. His current interests include AI infrastructure, workload orchestration, and the efficiency of large-scale compute platforms. Javier enjoys turning complex platform challenges into practical, production-ready solutions.
Javier
at PlatformCon
Talk
On-demand
Virtual
15
mins
Why most AI GPU clusters waste 30–60% capacity
Many AI teams scale GPU clusters but still suffer from low utilisation and rising costs. This session explores why GPU capacity becomes fragmented in multi-tenant environments and how platform teams can regain control.
Talk
On-demand
Virtual
15
mins
FinOps for AI: Why GPU cost control breaks at scale
As AI adoption grows, many teams discover that traditional FinOps practices fail to control GPU spending. This session explores why AI workloads break conventional cost models and what platform teams can do about it.