What is the difference between Crusoe and Google Cloud?

Crusoe and Google Cloud are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Crusoe or Google Cloud?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Crusoe and Google Cloud?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 4 different GPU models across both Crusoe and Google Cloud, with 0 models available from both providers.

Crusoe vs Google Cloud

Compare GPU pricing, features, and specifications between Crusoe and Google Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.

Crusoe

Provider 1

GPUs Available

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Google Cloud

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Crusoe GPUs

Google Cloud GPUs

Direct Comparisons

View:

Crusoe

Google Cloud

GPU Pricing Comparison

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Features Comparison

Crusoe

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

Google Cloud

Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
Cloud Functions
Event-driven serverless compute platform.
Cloud Run
Fully managed serverless platform for containerized applications.
Vertex AI
Unified ML platform for building, deploying, and managing ML models.
Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

Pros & Cons

Crusoe

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

Considerations

Limited GPU variety (primarily A100, A100_80G, and L40S)
Regional focus rather than global presence
Newer player in the cloud GPU market

Google Cloud

Advantages

Flexible pricing options, including sustained use discounts
Strong AI and machine learning tools (Vertex AI)
Good integration with other Google services
Cutting-edge Kubernetes implementation (GKE)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

Compute Services

Crusoe

GPU Instances

High-performance GPU instances powered by NVIDIA GPUs

Reserved Clusters

Large-scale reserved GPU clusters for enterprise and research workloads

Custom node configurations
Flexible interconnect options

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

Pricing Options

Crusoe

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

Getting Started

Crusoe

Get Started

1
Create an account
Sign up for Crusoe Cloud services through their website
2
Select GPU instance
Choose from available GPU types (A100, A100_80G, or L40S)
3
Configure storage
Set up persistent storage options for your workloads
4
Launch instance
Deploy your instance with fast spin-up times

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

Support & Global Availability

Crusoe

Global Regions

Strategically located data centers in low-cost energy areas of the United States

Support

Documentation, SOC II certified infrastructure

Google Cloud

Global Regions

35+ regions and 100+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.