What is the difference between Hyperstack and RunPod?

Hyperstack and RunPod 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: Hyperstack or RunPod?

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 Hyperstack and RunPod?

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 15 different GPU models across both Hyperstack and RunPod, with 0 models available from both providers.

Hyperstack vs RunPod

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

Hyperstack

Provider 1

GPUs Available

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RunPod

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Hyperstack GPUs

RunPod GPUs

Direct Comparisons

Average Price Difference: $1.47/hour between comparable GPUs

View:

Hyperstack

RunPod

GPU Pricing Comparison

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Features Comparison

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

RunPod

Secure Cloud GPUs
Access to a wide range of GPU types with enterprise-grade security
Pay-as-you-go
Only pay for the compute time you actually use
API Access
Programmatically manage your GPU instances via REST API
Fast cold-starts
Pods typically ready in 20-30 s
Hot-reload dev loop
SSH & VS Code tunnels built-in
Spot-to-on-demand fallback
Automatic migration on pre-empt

Pros & Cons

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

RunPod

Advantages

Competitive pricing with pay-per-second billing
Wide variety of GPU options
Simple and intuitive interface

Considerations

GPU availability can vary by region
Some features require technical knowledge

Compute Services

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads

On‑Demand GPU

Configure per‑GPU CPU/RAM with transparent pricing.

RunPod

Pods

On‑demand single‑node GPU instances with flexible templates and storage.

Instant Clusters

Spin up multi‑node GPU clusters in minutes with auto networking.

Pricing Options

Hyperstack

RunPod

Getting Started

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

RunPod

Get Started

1
Create an account
Sign up for RunPod using your email or GitHub account
2
Add payment method
Add a credit card or cryptocurrency payment method
3
Launch your first pod
Select a template and GPU type to launch your first instance

Support & Global Availability

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources

RunPod