Google Cloud vs Hyperstack

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

Google Cloud logo

Google Cloud

Provider 1

0
GPUs Available
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Hyperstack logo

Hyperstack

Provider 2

10
GPUs Available
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Comparison Overview

10
Total GPU Models
Google Cloud logo
0
Google Cloud GPUs
Hyperstack logo
10
Hyperstack GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 10Both available: 0Google Cloud: 0Hyperstack: 10
Showing 10 of 10 GPUs
Last updated: 11/30/2025, 7:19:14 PM
A100 PCIE
40GB VRAM •
Not Available
HyperstackHyperstack
$1.35/hour
Updated: 3/31/2025
Best Price
A100 SXM
80GB VRAM •
Not Available
HyperstackHyperstack
$1.35/hour
Updated: 11/30/2025
Best Price
A40
48GB VRAM •
Not Available
HyperstackHyperstack
$0.60/hour
4x GPU configuration
Updated: 6/25/2025
Best Price
H100
80GB VRAM •
Not Available
HyperstackHyperstack
$3.80/hour
2x GPU configuration
Updated: 11/30/2025
Best Price
H200
141GB VRAM •
Not Available
HyperstackHyperstack
$3.50/hour
Updated: 11/30/2025
Best Price
L40
40GB VRAM •
Not Available
HyperstackHyperstack
$4.00/hour
4x GPU configuration
Updated: 11/30/2025
Best Price
RTX 6000 Ada
48GB VRAM •
Not Available
HyperstackHyperstack
$4.40/hour
4x GPU configuration
Updated: 7/31/2025
Best Price
RTX A4000
16GB VRAM •
Not Available
HyperstackHyperstack
$0.60/hour
4x GPU configuration
Updated: 11/30/2025
Best Price
RTX A5000
24GB VRAM •
Not Available
HyperstackHyperstack
$1.00/hour
4x GPU configuration
Updated: 7/31/2025
Best Price
RTX A6000
48GB VRAM •
Not Available
HyperstackHyperstack
$1.00/hour
2x GPU configuration
Updated: 11/30/2025
Best Price

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.

Hyperstack

  • Managed Kubernetes

    Automated software deployment, scaling and management

  • Pre-Configured Flavours

    Optimized templates for GPU-accelerated workloads with custom flavor options

  • First Class API

    Purpose-built API designed specifically for GPU cloud operations

  • Optimised Networking

    Network architecture optimized for maximum GPU efficiency

  • Premium Storage

    Multiple storage options including NVMe, HDD block, and HDD Shared storage

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

Hyperstack

Advantages
  • Up to 75% more cost-effective than major cloud providers
  • GPU-optimized ecosystem for maximum performance efficiency
  • Easy-to-use platform with 1-click deployments
  • 100% renewable energy powered infrastructure
Considerations
  • Limited global presence (primarily Europe and North America)
  • Niche market focus on GPU workloads
  • Less established compared to major cloud providers

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

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads

On‑Demand GPU

Configure per‑GPU CPU/RAM with transparent pricing.

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.

Hyperstack

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.

Hyperstack

Get Started
  1. 1
    Register Account

    Sign up for Hyperstack cloud services

  2. 2
    Choose Configuration

    Select from pre-configured flavors or create custom ones

  3. 3
    Deploy Resources

    Launch GPU instances with 1-click deployment

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.

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources