Green AI Cloud vs IO.NET: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Green AI Cloud and IO.NET. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Green AI Cloud offers H100 and A100 GPU instances powered by 100% renewable energy across European data centers, targeting organizations that need ESG-compliant AI compute for LLM training, fine-tuning, and inference workloads. On-demand billing and a sustainability-first mission make it a responsible choice for enterprises with carbon reduction commitments. A strong option for EU-based AI teams that want verifiably green GPU cloud infrastructure without sacrificing performance.
- 100% renewable energy
- Carbon-neutral compute
- European presence
- Small provider — limited GPU catalog
- Fewer regions than larger providers
- Less mature ecosystem vs CoreWeave
No reviews yet — add yours ↗
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
- Very low prices on H100 and A100
- Large pool of available GPUs
- Decentralized resilience
- Crypto-native billing
- Marketplace model — hardware quality varies by host
- No enterprise SLAs or uptime guarantees
- Not suitable for compliance-sensitive workloads
No reviews yet — add yours ↗
Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
Green AI Cloud
Sustainable GPU cloud
IO.NET
Decentralized GPU network — access idle GPUs at below-market rates