Google Cloud vs Seeweb

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

Google Cloud logo

Google Cloud

Provider 1

3
GPUs Available
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Seeweb logo

Seeweb

Provider 2

9
GPUs Available
Visit Website

Comparison Overview

11
Total GPU Models
Google Cloud logo
3
Google Cloud GPUs
Seeweb logo
9
Seeweb GPUs
1
Direct Comparisons

Average Price Difference: $0.11/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 11Both available: 1Google Cloud: 3Seeweb: 9
Showing 11 of 11 GPUs
Last updated: 2/22/2026, 11:32:04 AM
A100 SXM
80GB VRAM •
Not Available
SeewebSeeweb
$1.16/hour
Updated: 2/22/2026
Best Price
A30
24GB VRAM •
Not Available
SeewebSeeweb
$0.34/hour
Updated: 2/22/2026
Best Price
H100
80GB VRAM •
Not Available
SeewebSeeweb
$2.22/hour
Updated: 2/22/2026
Best Price
H200
141GB VRAM •
Not Available
SeewebSeeweb
$3.06/hour
Updated: 2/22/2026
Best Price
L4
24GB VRAM •
Google CloudGoogle Cloud
$0.56/hour
8x GPU configuration
Updated: 2/17/2026
SeewebSeeweb
$0.45/hour
Updated: 2/22/2026
Best Price
Price Difference:+$0.11(+24.4%)
L40S
48GB VRAM •
Not Available
SeewebSeeweb
$1.00/hour
Updated: 2/22/2026
Best Price
MI300X
192GB VRAM •
Not Available
SeewebSeeweb
$2.77/hour
Updated: 2/22/2026
Best Price
RTX 6000 Pro
96GB VRAM •
Not Available
SeewebSeeweb
$0.34/hour
Updated: 2/22/2026
Best Price
RTX A6000
48GB VRAM •
Not Available
SeewebSeeweb
$0.87/hour
Updated: 2/22/2026
Best Price
Tesla T4
16GB VRAM •
Google CloudGoogle Cloud
$0.55/hour
4x GPU configuration
Updated: 2/17/2026
Best Price
Not Available
Tesla V100
32GB VRAM •
Google CloudGoogle Cloud
$2.48/hour
8x GPU configuration
Updated: 2/17/2026
Best Price
Not Available

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.

Seeweb

  • Pay Per Use Billing

    Hourly billing with no minimum commitment, pay only for what you use

  • Multi-GPU Configurations

    Scale from 1 to 8 GPUs per instance across all available models

  • Infrastructure as Code

    Full Terraform support for automated provisioning and management

  • Kubernetes Integration

    Native Kubernetes support for orchestrating GPU workloads

  • 10 Gbps Networking

    High-bandwidth network connectivity for data-intensive workloads

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

Seeweb

Advantages
  • Competitive European GPU pricing with no minimum commitment
  • Wide range of GPUs from L4 to H200 and AMD MI300X
  • 99.99% uptime guarantee
  • European data centers for GDPR-compliant workloads
Considerations
  • Primarily European data center presence
  • Pricing listed in EUR (no native USD billing)
  • Smaller provider compared to hyperscalers

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

Seeweb

Cloud Server GPU

On-demand GPU cloud servers with hourly billing and flexible configurations.

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.

Seeweb

On-Demand (Hourly)

Pay-per-hour billing with no commitment

3-Month Commitment

Discounted hourly rate with 3-month commitment

6-Month Commitment

Further discounted rate with 6-month commitment

12-Month Commitment

Best rate with annual commitment

Getting Started

Google Cloud

Get Started
  1. 1
    Create a Google Cloud project

    Set up a project in the Google Cloud Console.

  2. 2
    Enable billing

    Set up a billing account to pay for resource usage.

  3. 3
    Choose a compute service

    Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.

  4. 4
    Create and configure an instance

    Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.

  5. 5
    Manage resources

    Use the Cloud Console, command-line tools, or APIs to manage your resources.

  1. 1
    Create Account

    Register on the Seeweb platform

  2. 2
    Select GPU Configuration

    Choose GPU model and quantity (1, 2, 4, or 8 GPUs)

  3. 3
    Deploy Server

    Launch your cloud GPU server and start using it

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.

Seeweb

Global Regions

Data centers in Frosinone (Italy), Milan (Italy), Lugano (Switzerland), Zurich (Switzerland), and Sofia (Bulgaria)

Support

24/7/365 support desk with three support tiers