Nscale vs Akamai Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Nscale and Akamai Cloud. Updated July 2026.
Provider Overview
Strengths & Best For
Nscale is a UK GPU cloud offering H100 and H200 bare-metal clusters with NVLink interconnects and competitive on-demand pricing for European AI training and LLM workloads, with UK data residency for GDPR compliance. No-virtualization bare-metal configurations deliver maximum GPU performance for distributed training runs without shared-tenancy overhead. A strong choice for UK and EU AI teams that need bare-metal H100 or H200 cluster performance within European data borders.
- UK/EU data residency
- Competitive H100/H200 pricing
- Bare metal performance
- High-bandwidth interconnects
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
Nscale — bare-metal provider
Nscale is a UK GPU cloud offering H100 and H200 bare-metal clusters with NVLink interconnects and competitive on-demand pricing for European AI training and LLM workloads, with UK data residency for GDPR compliance. No-virtualization bare-metal configurations deliver maximum GPU performance for distributed training runs without shared-tenancy overhead. A strong choice for UK and EU AI teams that need bare-metal H100 or H200 cluster performance within European data borders.
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
Nscale 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
Nscale is best suited for: UK/EU AI teams, GDPR-sensitive training, Bare metal H100 clusters. Its key strengths are uk/eu data residency, competitive h100/h200 pricing, bare metal performance. 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
Nscale offers Standard → Enterprise support across 1 region (EU-West). 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: Nscale vs Akamai Cloud
Nscale was founded in 2022 and is headquartered in London, UK. Akamai Cloud was founded in 2003 and is headquartered in Cambridge, MA. Akamai Cloud has 19 years more operational history than Nscale, 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.