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.

C

Crusoe

Provider 1

4
GPUs Available
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G

Google Cloud

Provider 2

0
GPUs Available
Visit Website

Comparison Overview

4
Total GPU Models
C
4
Crusoe GPUs
G
0
Google Cloud GPUs
0
Direct Comparisons
View:
Crusoe
Google Cloud

GPU Pricing Comparison

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Features Comparison

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Pros & Cons

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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

  1. 1
    Create an account

    Sign up for Crusoe Cloud services through their website

  2. 2
    Select GPU instance

    Choose from available GPU types (A100, A100_80G, or L40S)

  3. 3
    Configure storage

    Set up persistent storage options for your workloads

  4. 4
    Launch instance

    Deploy your instance with fast spin-up times

Google Cloud

Get Started
  1. 1
    Create a Google Cloud project

    Set up a project in the Google Cloud Console.

  2. 2
    Enable billing

    Set up a billing account to pay for resource usage.

  3. 3
    Choose a compute service

    Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.

  4. 4
    Create and configure an instance

    Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.

  5. 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.