What is the difference between Fluidstack and Google Cloud?

Fluidstack 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: Fluidstack 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 Fluidstack 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 2 different GPU models across both Fluidstack and Google Cloud, with 0 models available from both providers.

Fluidstack vs Google Cloud GPU Cloud Pricing 2026

GPU Pricing Comparison

Total GPUs: 2Both available: 0Fluidstack: 0Google Cloud: 2

Showing 2 of 2 GPUs

Last updated: 4/16/2026, 5:58:52 PM

GPU Model ↑	Fluidstack Price	Google Cloud Price	Price Diff ↕	Sources
Tesla T4 16GB VRAM • Google Cloud	Not Available	$0.16/hr★ Best	—	Google Cloud
Tesla T4 16GB VRAM • Not Available Google Cloud $0.16/hour Updated: 3/31/2026 ★Best Price Google Cloud
Tesla V100 32GB VRAM • Google Cloud	Not Available	$1.12/hr★ Best	—	Google Cloud
Tesla V100 32GB VRAM • Not Available Google Cloud $1.12/hour Updated: 3/31/2026 ★Best Price Google Cloud

Tesla T4 16GB VRAM • Google Cloud	Not Available	$0.16/hr★ Best	—	Google Cloud
Tesla T4 16GB VRAM • Not Available Google Cloud $0.16/hour Updated: 3/31/2026 ★Best Price Google Cloud
Tesla V100 32GB VRAM • Google Cloud	Not Available	$1.12/hr★ Best	—	Google Cloud
Tesla V100 32GB VRAM • Not Available Google Cloud $1.12/hour Updated: 3/31/2026 ★Best Price Google Cloud

Features Comparison

Fluidstack

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

Fluidstack

Advantages

Highly cost-effective (30-80% lower costs compared to major cloud providers)
Large-scale GPU availability (10,000+ NVIDIA H100 GPUs deployed)
Rapid deployment and scaling capabilities
Fully managed infrastructure with 24/7 support

Considerations

Relatively newer and smaller compared to major cloud providers
Primary focus on AI and ML workloads may not suit all use cases
Limited global presence compared to hyperscalers

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

Fluidstack

GPU Instances

On‑demand dedicated GPUs for AI workloads with competitive pricing.

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

Fluidstack

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

Fluidstack

Get 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.

Support & Global Availability

Fluidstack

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

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