Green AI Cloud vs Spheron: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Green AI Cloud and Spheron. 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
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Spheron is a GPU marketplace sourcing from certified data center partners globally. GPU catalog: B300 Blackwell, B200 Blackwell, H200, H100, MI300X, GH200, A100, RTX PRO 6000, RTX 5090, L40S, RTX 4090 — on-demand and spot. GB200 and GB300 available to reserve. NVIDIA R100 Rubin (288 GB HBM4) pre-order. Per-minute billing, 20-minute minimum. Accepts USDT/USDC.
- B300, H100, RTX 4090 — competitive live pricing
- Spot pricing available on H200, H100, A100
- MI300X — AMD high-VRAM option
- NVIDIA R100 Rubin pre-order available
- Per-minute billing, 20-minute minimum, no contracts
- Accepts USDT and USDC crypto payments
- Marketplace model — hardware consistency varies by partner
- 20-minute minimum runtime (not per-second)
- No enterprise SLAs
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Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
Green AI Cloud
Sustainable GPU cloud
Spheron
B300, H100, B200, H200 — per-minute billing, 20-min minimum