What is the difference between Cudo Compute and Google Cloud?

Cudo Compute 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: Cudo Compute 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 Cudo Compute 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 5 different GPU models across both Cudo Compute and Google Cloud, with 0 models available from both providers.

Cudo Compute vs Google Cloud

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

Cudo Compute

Provider 1

GPUs Available

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Google Cloud

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Cudo Compute GPUs

Google Cloud GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 5Both available: 0Cudo Compute: 5Google Cloud: 0

Showing 5 of 5 GPUs

Last updated: 12/9/2025, 5:40:17 AM

GPU Model ↑	Cudo Compute Price	Google Cloud Price	Price Diff ↕	Sources
A100 PCIE 40GB VRAM • Cudo Compute	$1.50/hr★ Best	Not Available	—	Cudo Compute
A100 PCIE 40GB VRAM • Cudo Compute $1.50/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
A40 48GB VRAM • Cudo Compute	$0.39/hr★ Best	Not Available	—	Cudo Compute
A40 48GB VRAM • Cudo Compute $0.39/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
RTX A5000 24GB VRAM • Cudo Compute	$0.35/hr★ Best	Not Available	—	Cudo Compute
RTX A5000 24GB VRAM • Cudo Compute $0.35/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
RTX A6000 48GB VRAM • Cudo Compute	$0.45/hr★ Best	Not Available	—	Cudo Compute
RTX A6000 48GB VRAM • Cudo Compute $0.45/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
Tesla V100 32GB VRAM • Cudo Compute	$0.39/hr★ Best	Not Available	—	Cudo Compute
Tesla V100 32GB VRAM • Cudo Compute $0.39/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute

A100 PCIE 40GB VRAM • Cudo Compute	$1.50/hr★ Best	Not Available	—	Cudo Compute
A100 PCIE 40GB VRAM • Cudo Compute $1.50/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
A40 48GB VRAM • Cudo Compute	$0.39/hr★ Best	Not Available	—	Cudo Compute
A40 48GB VRAM • Cudo Compute $0.39/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
RTX A5000 24GB VRAM • Cudo Compute	$0.35/hr★ Best	Not Available	—	Cudo Compute
RTX A5000 24GB VRAM • Cudo Compute $0.35/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
RTX A6000 48GB VRAM • Cudo Compute	$0.45/hr★ Best	Not Available	—	Cudo Compute
RTX A6000 48GB VRAM • Cudo Compute $0.45/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute
Tesla V100 32GB VRAM • Cudo Compute	$0.39/hr★ Best	Not Available	—	Cudo Compute
Tesla V100 32GB VRAM • Cudo Compute $0.39/hour Updated: 5/15/2025 ★Best Price Not Available Cudo Compute

Features Comparison

Cudo Compute

GPU-first cloud
On-demand and reserved GPU capacity with models ranging from V100 and A40 to L40S, A800, A100 80 GB, and H100 SXM
Cluster and bare metal options
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Global data center catalog
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
API and automation
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Enterprise focus
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity

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

Cudo Compute

Advantages

Wide GPU lineup including flagship H100 and A100 alongside cost-effective V100/A40/L40S options
Data center coverage across UK, US, Nordics, and Africa for latency and sovereignty needs
Transparent per-GPU pricing with visible commit-term discounts in the catalog
Choice of VMs, bare metal, and clusters for different performance and tenancy needs

Considerations

Smaller managed service ecosystem than hyperscalers
GPU availability varies by data center and model
Account approval may be required for larger reservations

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

Cudo Compute

GPU Cloud

On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.

Supports NVIDIA GPUs from V100 through H100 with per-GPU pricing
Elastic storage and IPv4 reservation per instance

Virtual Machines

CPU and GPU-backed VMs for general workloads and AI inference.

Multiple CPU families and memory/vCPU ratios
Attach GPUs as needed for acceleration

Bare Metal and Clusters

Dedicated servers and multi-node GPU clusters for high-performance training and rendering.

Supports H100, A100 80 GB, L40S, and A800 cluster builds
Commitment options for capacity guarantees and better rates

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

Cudo Compute

On-demand GPU VMs

Hourly per-GPU pricing with published rates by data center and GPU model

Reserved Capacity

Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply

Bare Metal and Cluster Quotes

Dedicated hardware and multi-node clusters priced per reservation with private networking 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.

Getting Started

Cudo Compute

Get Started

1
Create an account
Sign up and log into the Cudo Compute console.
2
Choose a data center
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
3
Select hardware
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
4
Launch a VM or cluster
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
5
Secure and monitor
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.

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

Cudo Compute

Global Regions

Data centers listed across Manchester (UK), Stockholm and Kristiansand (Nordics), Lagos (Nigeria), and US sites including Carlsbad, Dallas, and New York, with additional locations in the catalog.

Support

Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.

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.