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Compare GPU and LLM inference API pricing between Crusoe and Zettabyte. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Crusoe Price | Zettabyte 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 • Zettabyte | Not Available | — | ||
H100 SXM 80GB 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 • Zettabyte | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
| Model ↑ | Crusoe | Zettabyte | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.500 in $1.50 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
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
Launch GPU instances quickly and scale to hundreds on-demand.
Designed for large-scale training with predictable capacity.
Custom clusters tailored for specific security and procurement needs.
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Ensures 99.9% uptime SLA with transparent incident reporting.
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
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 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
Access the main platform to explore available services.
Select between on-demand, reserved clusters, or private cloud.
Provide necessary information to create a user account.
Fill in details for account management and payment.
Follow prompts to deploy your chosen compute resource.
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