Amazon AWS vs Google Cloud

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

A

Amazon AWS

Provider 1

6
GPUs Available
Google Cloud logo

Google Cloud

Provider 2

0
GPUs Available
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Comparison Overview

6
Total GPU Models
A
6
Amazon AWS GPUs
Google Cloud logo
0
Google Cloud GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 6Both available: 0Amazon AWS: 6Google Cloud: 0
Showing 6 of 6 GPUs
Last updated: 12/12/2025, 11:44:15 AM
A10
24GB VRAM •
Amazon AWSAmazon AWS
$1.63/hour
Updated: 2/24/2025
Best Price
Not Available
A100 PCIE
40GB VRAM •
Amazon AWSAmazon AWS
$1.48/hour
8x GPU configuration
Updated: 3/31/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
Amazon AWSAmazon AWS
$1.48/hour
8x GPU configuration
Updated: 8/12/2025
Best Price
Not Available
B200
192GB VRAM •
Amazon AWSAmazon AWS
$10.58/hour
72x GPU configuration
Updated: 8/12/2025
Best Price
Not Available
H100
80GB VRAM •
Amazon AWSAmazon AWS
$3.93/hour
8x GPU configuration
Updated: 8/12/2025
Best Price
Not Available
H200
141GB VRAM •
Amazon AWSAmazon AWS
$4.33/hour
8x GPU configuration
Updated: 8/12/2025
Best Price
Not Available

Features Comparison

Amazon AWS

    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

    Amazon AWS

    Advantages
      Considerations

        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

        Amazon AWS

        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

        Amazon AWS

        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

        Amazon AWS

          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.

          Support & Global Availability

          Amazon AWS

          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.