Cirrascale vs Akamai Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cirrascale and Akamai Cloud. Updated July 2026.
Provider Overview
Strengths & Best For
Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.
- H100/H200 cluster focus
- InfiniBand networking
- Dedicated deployments
- Enterprise SLAs
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
Cirrascale — specialist provider
Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.
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
Cirrascale uses a On-demand, Reserved 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
Cirrascale is best suited for: Large-scale AI training, Enterprise LLM workloads, Dedicated cluster users. Its key strengths are h100/h200 cluster focus, infiniband networking, dedicated deployments. 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
Cirrascale offers Standard → Enterprise support across 1 region (US). 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: Cirrascale vs Akamai Cloud
Cirrascale was founded in 2009 and is headquartered in San Diego, CA. Akamai Cloud was founded in 2003 and is headquartered in Cambridge, MA. Akamai Cloud has 6 years more operational history than Cirrascale, 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.