Green AI Cloud vs Akamai Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Green AI Cloud and Akamai Cloud. Updated July 2026.
Provider 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
Akamai Cloud (formerly Linode) offers RTX 4090 and A100 GPU instances backed by Akamai's global CDN and edge network, providing strong network performance and competitive on-demand pricing for AI inference workloads that need global distribution. Available across multiple regions worldwide, it is a natural fit for teams already using Akamai's CDN who want to co-locate GPU inference close to their edge infrastructure. A solid GPU cloud option for inference-heavy applications where network latency and global reach matter.
- Global edge network
- Competitive pricing
- Multiple regions
- Strong network performance
Live GPU Pricing
Region Coverage
Popular Comparisons
Green AI Cloud — specialist provider
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.
Akamai Cloud — specialist provider
Akamai Cloud (formerly Linode) offers RTX 4090 and A100 GPU instances backed by Akamai's global CDN and edge network, providing strong network performance and competitive on-demand pricing for AI inference workloads that need global distribution. Available across multiple regions worldwide, it is a natural fit for teams already using Akamai's CDN who want to co-locate GPU inference close to their edge infrastructure. A solid GPU cloud option for inference-heavy applications where network latency and global reach matter.
Billing model comparison
Green AI Cloud uses a On-demand billing model with a minimum commitment of None. Akamai Cloud uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Green AI Cloud is best suited for: Sustainability-focused teams, ESG-compliant AI, European workloads. Its key strengths are 100% renewable energy, carbon-neutral compute, european presence. Akamai Cloud is best suited for: Inference with global distribution, Teams already on Akamai/Linode, Multi-region deployments. Its key strengths are global edge network, competitive pricing, multiple regions. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Green AI Cloud offers Standard support across 1 region (EU). Akamai Cloud offers Standard → Enterprise support across 3 regions (US, EU, APAC). Akamai Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Green AI Cloud vs Akamai Cloud
Green AI Cloud was founded in 2022 and is headquartered in Europe. Akamai Cloud was founded in 2003 and is headquartered in Cambridge, MA. Akamai Cloud has 19 years more operational history than Green AI Cloud, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.