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Hyperscaler Exit
6 articles
Articles
May 4, 2026
Hyperscaler GPU Alternatives in Europe: The Infrastructure Guide
Expiring cloud credits and chronically underused GPU capacity are breaking unit economics for AI startups. Engineering leaders are migrating to specialized European infrastructure to cut costs and guarantee GDPR compliance.
May 2, 2026
The AWS SageMaker Alternative: EU Sovereign GPU Infrastructure
European AI teams face a dual mandate: scale model deployment while navigating strict EU data sovereignty laws. Relying on US-based hyperscaler ML platforms exposes organizations to unsustainable costs and compliance risks.
May 2, 2026
Azure GPU Pricing Alternatives 2026
The initial wave of hyperscaler credits has dried up. Discover how AI startups are cutting compute costs while maintaining strict EU data sovereignty.
February 23, 2026
ML Training Without AWS: A Guide to Sovereign GPU Infrastructure
Hyperscalers often trap ML teams with high egress fees and complex orchestration that leads to chronically low GPU utilization. Transitioning to a sovereign GPU cloud allows for better resource efficiency, support for GDPR compliance, and a significant reduction in the total cost of compute.
February 11, 2026
Beyond the Big Three: Optimizing ML Training on Alternative Clouds
Legacy hyperscalers charge a premium for general-purpose infrastructure that often leaves GPUs idle and budgets drained. Moving to specialized ML infrastructure reduces egress fees and eliminates the DevOps tax while maximizing hardware efficiency for large-scale training runs.
February 9, 2026
High-Performance Alternatives to AWS SageMaker for AI Teams
Managed ML platforms often trade performance for convenience, leading to ballooning costs and vendor lock-in. For AI-first startups, moving to a specialized European GPU cloud can materially reduce compute spend while raising hardware utilization.