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: 5/19/2026, 8:54:44 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: 5/17/2026 ★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: 5/17/2026 ★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: 5/17/2026 ★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: 5/17/2026 ★Best Price Google Cloud

Features Comparison

Fluidstack

Atlas OS
Bare-metal OS for AI infrastructure with fast provisioning, smooth orchestration, and total ownership
Lighthouse
Monitoring and optimization system that catches problems before they impact workloads
Single-Tenant by Default
Fully isolated infrastructure at hardware, network, and storage levels with no shared clusters
24/7 Engineering Support
Direct engineering support with 15-minute response SLA and secure access controls
No Hidden Fees
No egress or ingress fees, with on-node NVMe storage included
Performance Guarantee
Clusters tested to deliver 95%+ of theoretical performance from day one

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

Purpose-built infrastructure for AI workloads with enterprise partnerships
Large-scale GPU availability with rapid deployment capabilities
Fully managed SLURM or Kubernetes orchestration
No data transfer fees and included local storage

Considerations

Enterprise-focused platform may be complex for small-scale users
Primary focus on AI and ML workloads may not suit general compute needs
Newer player compared to established hyperscale cloud providers

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 Clusters

Dedicated, high-performance GPU clusters that are fully isolated, fully managed, and always available.

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

Reserved Clusters

Designed for large-scale training and inference, deployed on fully managed cloud infrastructure. 256-10,000+ GPUs with monthly or annual terms and discounted rates.

On Demand

Launch GPU instances in under 5 minutes and seamlessly scale to 100s of GPUs on-demand. 8-4,000+ GPUs with hourly billing.

Private Cloud

Custom dedicated clusters for complex needs with flexible terms and region-specific deployments.

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

1
Contact expert
Talk to a Fluidstack expert to discuss your specific AI infrastructure needs
2
Request pricing
Get custom pricing for your GPU cluster requirements
3
Deploy infrastructure
Launch your dedicated GPU cluster with fully managed support

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.