What is the difference between Google Cloud and UpCloud?

Google Cloud and UpCloud 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 UpCloud?

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 UpCloud?

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 3 different GPU models across both Google Cloud and UpCloud, with 0 models available from both providers.

Google Cloud vs UpCloud GPU Cloud Pricing 2026

GPU Pricing Comparison

Total GPUs: 3Both available: 0Google Cloud: 2UpCloud: 1

Showing 3 of 3 GPUs

Last updated: 4/21/2026, 5:26:24 PM

GPU Model ↑	Google Cloud Price	UpCloud Price	Price Diff ↕	Sources
L40S 48GB VRAM • UpCloud	Not Available	$1.23/hr★ Best 2x GPU	—	UpCloud
L40S 48GB VRAM • Not Available UpCloud $1.23/hour 2x GPU configuration Updated: 4/19/2026 ★Best Price UpCloud
Tesla T4 16GB VRAM • Google Cloud	$0.16/hr★ Best	Not Available	—	Google Cloud
Tesla T4 16GB VRAM • Google Cloud $0.16/hour Updated: 3/31/2026 ★Best Price Not Available Google Cloud
Tesla V100 32GB VRAM • Google Cloud	$1.12/hr★ Best	Not Available	—	Google Cloud
Tesla V100 32GB VRAM • Google Cloud $1.12/hour Updated: 3/31/2026 ★Best Price Not Available Google Cloud

L40S 48GB VRAM • UpCloud	Not Available	$1.23/hr★ Best 2x GPU	—	UpCloud
L40S 48GB VRAM • Not Available UpCloud $1.23/hour 2x GPU configuration Updated: 4/19/2026 ★Best Price UpCloud
Tesla T4 16GB VRAM • Google Cloud	$0.16/hr★ Best	Not Available	—	Google Cloud
Tesla T4 16GB VRAM • Google Cloud $0.16/hour Updated: 3/31/2026 ★Best Price Not Available Google Cloud
Tesla V100 32GB VRAM • Google Cloud	$1.12/hr★ Best	Not Available	—	Google Cloud
Tesla V100 32GB VRAM • Google Cloud $1.12/hour Updated: 3/31/2026 ★Best Price Not Available Google Cloud

Features Comparison

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.

UpCloud

Dedicated GPUs
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
100% Renewable Energy
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
European Data Sovereignty
GDPR-compliant infrastructure in Finland with strong jurisdictional protections and no third-party dependencies
Zero-Cost Data Transfer
No egress fees — outbound data transfer is included at no extra cost
Usage-Based Billing
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required

Pros & Cons

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

UpCloud

Advantages

100% renewable energy with waste heat recovery — strong sustainability credentials
Zero-cost egress eliminates surprise data transfer bills
GDPR-compliant EU data sovereignty in Finland
Dedicated GPUs with no shared hardware

Considerations

GPU servers only available in Helsinki — no multi-region GPU presence
Limited to NVIDIA L40S for public cloud (H200 NVL only via private cloud)
No NVLink or MIG support — inter-GPU communication limited to PCIe 4.0

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

UpCloud

GPU Servers

On-demand NVIDIA L40S GPU instances with dedicated hardware and AMD EPYC 9575F processors

Private Cloud GPUs

Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs

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.

UpCloud

On-Demand GPU Servers

Hourly billing for L40S GPU instances with no upfront commitment — pay only for active compute time

Private Cloud GPUs

Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL

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.

UpCloud

Get Started

1
Create an UpCloud account
Sign up at upcloud.com and complete account verification
2
Select a GPU server plan
Choose from 1x, 2x, or 3x L40S configurations with varying vCPU and RAM options
3
Deploy with AI/ML template
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
4
Attach storage
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data

Support & Global Availability

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.

UpCloud

Global Regions

Helsinki, Finland (Telia Helsinki Data Center)

Support

Documentation, API reference, and support team available through the UpCloud control panel