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: June 27, 2026
GPU Model↑ | Memory↑ | GPUs | vCPUs | RAM | Price / hr↑ | Updated↑ | Source |
|---|---|---|---|---|---|---|---|
| A100 PCIE | 40GB | 1× | — | — | $2.00/hr | 6/17/2026 | |
| A100 SXM | 80GB | 1×2×4×8× | 12 | 120 GB | $1.45/hr | 6/27/2026 | |
| A40 | 48GB | 1×2×4×8× | 6 | 60 GB | $1.10/hr | 6/27/2026 | |
| H100 SXM | 80GB | 1× | — | — | $3.90/hr | 6/26/2026 | |
| H200 | 141GB | 1× | — | — | $4.29/hr | 6/26/2026 | |
| L40S | 48GB | 1×2×4×8×10× | 8 | 147 GB | $1.45/hr | 6/27/2026 | |
| MI300X | 192GB | 1× | — | — | $3.45/hr | 6/26/2026 |
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
- Contact sales required for newest GPU models (GB200, B200, MI355X)
- Primarily focused on North American data centers
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
Managed Inference
Breakthrough speed LLM inference with up to 9.9x faster time-to-first-token
Command Center
Unified operations platform for high-performance AI workloads
Security Certifications
ISO 27001 and ISO 42001 certified for information security and responsible AI governance
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 V4, GLM 5.1, Llama 3.3, Gemma, and Nemotron
- Pay-as-you-go pricing per million tokens
- Provisioned throughput with AI Model Units (AMUs)
- Input, output, and cached token pricing
- Breakthrough speed with up to 9.9x faster time-to-first-token
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
Crusoe Edge Zones
High-performance AI infrastructure powered by Crusoe Spark modular AI data centers
- Scalable edge computing capabilities
- Modular AI data center deployment
- Reduced latency for edge AI workloads
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, ISO 27001 and ISO 42001 certifications
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
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