What is the difference between Google Cloud and Lambda Labs?

Google Cloud and Lambda Labs 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: Google Cloud or Lambda Labs?

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 Google Cloud and Lambda Labs?

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 9 different GPU models across both Google Cloud and Lambda Labs, with 0 models available from both providers.

Google Cloud vs Lambda Labs

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

Google Cloud

Provider 1

GPUs Available

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Lambda Labs

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Google Cloud GPUs

Lambda Labs GPUs

Direct Comparisons

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Google Cloud

Lambda Labs

GPU Pricing Comparison

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Features Comparison

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Pros & Cons

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Compute Services

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

Lambda Labs

Pricing Options

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.

Lambda Labs

Getting Started

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.

Lambda Labs

Get Started

Support & Global Availability

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.

Lambda Labs