What is the difference between Amazon AWS and Hyperstack?

Amazon AWS and Hyperstack 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: Amazon AWS or Hyperstack?

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 Amazon AWS and Hyperstack?

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 12 different GPU models across both Amazon AWS and Hyperstack, with 0 models available from both providers.

Amazon AWS vs Hyperstack

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

Amazon AWS

Provider 1

GPUs Available

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Hyperstack

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Amazon AWS GPUs

Hyperstack GPUs

Direct Comparisons

Average Price Difference: $0.13/hour between comparable GPUs

View:

Amazon AWS

Hyperstack

GPU Pricing Comparison

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Features Comparison

Amazon AWS

Global Infrastructure
Extensive network of data centers across multiple regions worldwide
Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
Advanced Security
Comprehensive security tools and compliance certifications
Auto Scaling
Automatically adjust resources based on demand
Integrated Services
Extensive ecosystem of services that work seamlessly together
Developer Tools
Comprehensive suite of tools for development, deployment, and management

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

Amazon AWS

Advantages

Broad range of compute options including GPUs
Highly scalable and reliable infrastructure
Pay-as-you-go pricing with cost optimization tools
Extensive global network of data centers

Considerations

Complex pricing structure
Steep learning curve for new users
Potential for unexpected costs without proper management

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

Amazon AWS

Amazon EC2

Virtual servers in the cloud with a wide range of instance types.

Amazon ECS

Fully managed container orchestration service.

Support for Docker containers
Integration with other AWS services

Amazon EKS

Managed Kubernetes service for container orchestration.

Certified Kubernetes conformant
Integrates with AWS networking and security services

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads

Pricing Options

Amazon AWS

On-Demand Instances

Pay for compute capacity by the second with no long-term commitments.

Spot Instances

Use spare EC2 capacity at up to 90% off the On-Demand price.

Reserved Instances

Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.

Savings Plans

Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.

Hyperstack

Getting Started

Amazon AWS

Get Started

1
Sign up for AWS
Create an AWS account to access the cloud platform.
2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
3
Launch an instance
Configure and launch your first compute instance or container.
4
Set up security
Configure security groups and access controls for your resources.
5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.

Hyperstack

Get Started

1
Register Account
Sign up for Hyperstack cloud services
2
Choose Configuration
Select from pre-configured flavors or create custom ones
3
Deploy Resources
Launch GPU instances with 1-click deployment

Support & Global Availability

Amazon AWS

Global Regions

25+ regions and 80+ availability zones worldwide.

Support

Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources