Gonka vs Lightning AI: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Gonka and Lightning AI. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Gonka is a European GPU cloud offering H100 and A100 instances with competitive on-demand pricing and flexible billing options for AI training and inference workloads across EU data centers. Straightforward pricing and European data center presence make it accessible for EU-based teams that need GDPR-compliant GPU compute without enterprise contracts. A no-frills European on-demand GPU cloud for AI teams that want simple, transparent pricing and EU data residency.
- Competitive pricing
- Flexible billing
- European presence
- Very small provider — limited scale
- No enterprise SLAs
- Limited documentation and support resources
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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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Key differences
Gonka
GPU cloud compute
Lightning AI
AI training platform — T4 to H200 on-demand with managed notebooks and studios