Hyperscaler exit
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Articles
9 February 2026
High-Performance Alternatives to AWS SageMaker for AI Teams
AWS SageMaker AI combines compute with managed development, training and deployment features. A cheaper alternative depends on which of those features your team uses and the engineering work needed to replace them. Compare matched hardware, region, purchasing term and utilization, then include storage, transfers, migration and operations. Specialized GPU clouds can be an alternative for containerized training or inference, while teams that rely on SageMaker Pipelines, data tooling or managed endpoints may value the integrated service. Lyceum publishes this article and competes in this market.
7 May 2026
Migrate ML Workloads from Legacy Clouds to an EU GPU Cloud
Hyperscaler credits expiring? Facing constrained GPU capacity and high egress fees? AI startups are moving to sovereign European infrastructure to regain control over costs and compliance.
4 May 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.
2 May 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.
23 February 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.
23 February 2026
Switching from AWS to a European GPU Cloud: A Technical Guide
Many AI teams find themselves locked into AWS due to initial credits, only to face recurring egress fees and utilization waste later. Transitioning to a European GPU cloud like Lyceum offers higher utilization and European data centers in Paris and Finland, without the hyperscaler tax.
13 February 2026
Migrating from AWS to Dedicated GPUs: A Performance and Cost Guide
Legacy cloud providers often throttle high-performance workloads through hypervisor overhead and restrictive orchestration. For AI engineers, migrating to dedicated GPUs is no longer just a cost-saving measure; it is a technical necessity to unlock the full throughput of H100 and B200 clusters.
11 February 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.
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