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Neocloud GPU Infrastructure for AI Workloads: Alternatives to Hyperscaler AI Platforms

Hyperscaler GPU capacity is scarce and expensive. Neocloud providers offer competitive GPU infrastructure for AI training and inference. Here's how to evaluate and adopt them.

Luca Berton8 min read

GPU scarcity on hyperscalers has pushed AI training costs to unsustainable levels. H100 instances on AWS cost $30+/hour, with multi-month waitlists for reserved capacity. Neocloud providers offer the same GPU hardware at 30-60% lower cost — often with better availability. For AI workloads that don't need the full hyperscaler ecosystem, neoclouds are the smart infrastructure choice.

GPU Pricing Comparison (H100 80GB)

  • AWS (p5.48xlarge) — ~$98/hr for 8x H100 (on-demand). Reserved: ~$65/hr
  • CoreWeave — ~$2.23/hr per H100. 8x ≈ $17.84/hr
  • Lambda — ~$2.49/hr per H100. 8x ≈ $19.92/hr
  • Scaleway — Competitive H100 pricing with EU data residency
  • Nebius — Competitive pricing with EU data center option
  • nscale — European sovereign GPU cloud, competitive H100 pricing with full EU data sovereignty

Prices are approximate and change frequently. Verify current pricing directly.

neocloud
gpu
ai training
ai inference
h100
cloud compute

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18+ years experience · Ex-Red Hat & Dell · Speaker at KubeCon EU 2026

Luca Berton

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Luca Berton

CEO at Open Empower. 18+ years building enterprise infrastructure at JPMorgan Chase, Red Hat & Dell. Author of 9 technical books. Speaker at Red Hat Summit and KubeCon EU 2026. Instructor on Coursera, Pluralsight & Udemy.

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