
Crusoe
Climate-friendly cloud using stranded energy
Last reviewed Mar 14, 2026
Crusoe Cloud offers sustainable, high‑performance GPU compute (A100, L40S, H200, B200, GB200, and AMD MI300X/MI355X) powered by stranded energy and Tier III facilities.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: May 13, 2026
GPU Model↑ | Memory↑ | GPUs | vCPUs | RAM | Price / hr↑ | Updated↑ | Source |
|---|---|---|---|---|---|---|---|
| A100 PCIE | 40GB | 1× | — | — | $1.45/hr | 5/13/2026 | |
| A100 SXM | 80GB | 1×2×4×8× | — | — | $1.95/hr | 5/13/2026 | |
| A40 | 48GB | 1×2×4×8× | 6 | 60 GB | $1.10/hr | 5/13/2026 | |
| H100 SXM | 80GB | 1× | — | — | $3.90/hr | 5/13/2026 | |
| H200 | 141GB | 1× | — | — | $4.29/hr | 5/13/2026 | |
| L40S | 48GB | 1×2×4×8×10× | 8 | 147 GB | $1.45/hr | 5/13/2026 | |
| MI300X | 192GB | 1× | — | — | $3.45/hr | 5/13/2026 | |
| MI355X | 288GB | 1× | — | — | $3.45/hr | 4/14/2026 |
Pros & Cons
Advantages
- Great GPU availability for on-demand use
- Affordable pricing for GPU instances
- Environmentally sustainable approach using stranded energy
- SLA guarantee on uptime and performance
- Lowest market price for A100_80G GPUs
- Fast instance deployment
Limitations
- Regional focus rather than global presence
- Newer player in the cloud GPU market
- Contact sales required for newest GPU models (GB200, B200, MI355X)
Key Features
Sustainable Computing
Powered by stranded and wasted energy sources to reduce carbon emissions
Fast Spin Up
Machines are deployed quickly when they are launched
Persistent Storage
Disk storage that can be used across multiple instances
SXM Support
Provides instances with NVIDIA SXM GPU interconnects
SLA Guarantee
Provider offers an SLA on uptime and performance
Compute Services
GPU Instances
High-performance GPU instances powered by NVIDIA GPUs
CPU Instances
General-purpose and storage-optimized CPU instances for data processing
Managed Inference
Fully managed LLM inference with pay-as-you-go and provisioned throughput options
- Leading LLMs including DeepSeek, Llama, Gemma, and Nemotron
- Pay-as-you-go pricing per million tokens
- Provisioned throughput with AI Model Units (AMUs)
- Input, output, and cached token pricing
Managed Kubernetes
Fully managed Kubernetes clusters for AI application deployment
- Simplifies deployment and scaling
- Supports both GPU and CPU resources
- Container registry integration
Reserved Clusters
Large-scale reserved GPU clusters for enterprise and research workloads
- Custom node configurations
- Flexible interconnect options
- Long-term reservation for consistent availability
Pricing Options
| Option | Details |
|---|---|
| On-Demand Instances | Pay by the hour for maximum agility and unthrottled compute |
| Spot Instances | Use spare capacity at significant discounts compared to on-demand pricing |
| Reserved Instances | Lock in guaranteed resources at lowest rates with custom commitments |
| Pay-as-you-go Inference | Flexible pricing for LLM inference based on token usage |
| Provisioned Throughput | Guaranteed inference capacity with AI Model Units for consistent performance |
Availability & Support
Regions
Strategically located data centers in low-cost energy areas of the United States
Support
Documentation, SOC II certified infrastructure
Getting Started
- 1
Create an account
Sign up for Crusoe Cloud services through their website
- 2
Select GPU instance
Choose from available GPU types including A100, L40S, H200, B200, GB200, and AMD options
- 3
Configure storage
Set up persistent storage options for your workloads
- 4
Launch instance
Deploy your instance with fast spin-up times
Compare Providers
Find the best prices for the same GPUs from other providers