Lightning AI vs Scaleway: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Lightning AI and Scaleway. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Lightning AI is an AI development platform offering on-demand GPU instances from T4 to H200, purpose-built for AI researchers and ML engineers. The platform combines cloud GPU access with managed AI Studios (collaborative notebooks), Lightning Apps (production ML pipelines), and Fabric (distributed training). Competitive on-demand pricing across a range of NVIDIA GPUs makes it a practical choice for teams that want GPU compute tightly integrated with an ML development workflow rather than raw infrastructure.
- Managed AI Studios — collaborative GPU notebooks
- Lightning Fabric for distributed training
- T4 to H200 on-demand with transparent pricing
- ML-first platform — compute + workflow in one product
- Strong open-source community (PyTorch Lightning)
- Platform lock-in vs raw GPU clouds
- Smaller GPU catalog than hyperscalers
- Less suitable for pure infrastructure teams
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Scaleway is a French cloud provider offering H100 SXM and PCIe GPU instances alongside a full cloud platform — managed Kubernetes (Kapsule), object storage, managed databases, serverless functions, and private networking — all within EU data centers. In 2025–2026 Scaleway launched H100 PCIe instances at competitive EU pricing, expanded its managed Kubernetes GPU node pools to support multi-GPU workloads natively, and introduced a GPU-optimized bare-metal tier for latency-sensitive inference. As a subsidiary of Iliad Group (one of France's largest telecoms), Scaleway has the financial backing and network infrastructure to compete seriously in the EU GPU market. A strong choice for European teams that want GPU compute and a full cloud stack from a single EU-sovereign provider, avoiding US hyperscaler data residency concerns entirely.
- Full EU-sovereign cloud stack — GPU, Kubernetes, storage, databases in one platform
- H100 SXM and PCIe at competitive European pricing
- Managed Kubernetes with native GPU node pool support
- Backed by Iliad Group — strong financial stability and network infrastructure
- GPU-optimized bare-metal tier for low-latency inference
- GPU catalog narrower than AWS, GCP, or Azure
- Primarily EU regions — limited options for US or APAC deployments
- ML ecosystem tooling less mature than hyperscalers
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Key differences
Lightning AI
AI training platform — T4 to H200 on-demand with managed notebooks and studios
Scaleway
European GPU cloud — H100, managed Kubernetes, and full cloud stack with EU sovereignty