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Compare GPU and LLM inference API pricing between Akamai Cloud and Crusoe. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Akamai Cloud Price | Crusoe Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
Quadro RTX 6000 24GB VRAM • Akamai Cloud | Not Available | — | ||
Quadro RTX 6000 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Akamai Cloud | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Akamai Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
Quadro RTX 6000 24GB VRAM • Akamai Cloud | Not Available | — | ||
Quadro RTX 6000 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Akamai Cloud | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Akamai Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Akamai Cloud | Crusoe | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.140 in $0.280 out | — |
DeepSeek | Not available | $1.74 in $3.48 out | — |
Google | Not available | $0.140 in $0.400 out | — |
Z AI | Not available | $1.40 in $4.40 out | — |
Z AI | Not available | $0.150 in $0.500 out | — |
OpenAI | Not available | $0.050 in $0.200 out | — |
Kimi | Not available | $0.700 in $3.50 out | — |
NVIDIA | Not available | $0.050 in $0.200 out | — |
NVIDIA | Not available | $0.300 in $1.83 out | — |
NVIDIA | Not available | $0.300 in $2.40 out | — |
NVIDIA | Not available | $1.00 in $3.20 out | — |
NVIDIA | Not available | $0.050 in $0.200 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Workstation and Blackwell-generation RTX cards exposed as predictable GPU Linodes
GPU instances available across the broader Akamai compute and CDN footprint
Flat monthly pricing on GPU Linodes with hourly fallback
Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture
Machines are deployed quickly when they are launched
Persistent and shared disks, object storage, and a container registry for AI datasets
Provides instances with NVIDIA SXM GPU interconnects
99.5% uptime commitment backed by 24/7 enterprise-grade support
LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM
High-performance GPU instances powered by NVIDIA GPUs
General-purpose and storage-optimized CPU instances for data processing
Fully managed LLM inference spanning serverless, self-serve dedicated, and tailored deployments
Flat monthly pricing for GPU-equipped virtual machines
Hourly billing fallback when instances run for less than a month
Pay by the hour for maximum agility and unthrottled compute
Use spare capacity at significant discounts compared to on-demand pricing
Lock in guaranteed resources at lowest rates with custom commitments
Flexible pricing for LLM inference based on token usage
Guaranteed inference capacity with AI Model Units, priced lower for longer commitments
Hourly per-GPU pricing for self-serve dedicated endpoints, with monthly and volume rates via sales
Per-token pricing tiered by the parameter count of the base model being tuned
Sign up at the Akamai Cloud / Linode console
Select RTX 4000 Ada, Quadro RTX 6000 or RTX PRO 6000 Blackwell with the desired GPU count
Provision the instance via console, CLI or API and connect over SSH
Sign up for Crusoe Cloud services through their website
Choose from available GPU types including L40S, A100, H100, H200, B200, GB200, and AMD options
Set up persistent storage options for your workloads
Deploy via the console, or provision programmatically with the Crusoe CLI or Terraform
Global region coverage across North America, Europe, Asia and Australia
Documentation, community resources and 24/7 paid support tiers
Data centers sited near low-cost energy in the United States, including a large-scale campus in Abilene, Texas, plus European capacity in Iceland and Norway
Documentation, learning hub, and 24/7 enterprise-grade support with a 99.5% uptime commitment; SOC 2, ISO 27001, and ISO 42001 certifications