What is the difference between Hyperstack and Lambda Labs?

Hyperstack and Lambda Labs 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 Lambda Labs?

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 Lambda Labs?

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 13 different GPU models across both Hyperstack and Lambda Labs, with 0 models available from both providers.

Hyperstack vs Lambda Labs

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

Hyperstack

Provider 1

GPUs Available

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Lambda Labs

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Hyperstack GPUs

Lambda Labs GPUs

Direct Comparisons

Average Price Difference: $3.29/hour between comparable GPUs

View:

Hyperstack

Lambda Labs

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

Lambda Labs

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

Lambda Labs

Advantages

Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
Specialized for AI workloads
One-click Jupyter access
Pre-installed popular ML frameworks

Considerations

Primarily focused on AI and ML workloads
Limited global data center presence compared to major cloud providers
Newer player in the cloud GPU market

Compute Services

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads

Lambda Labs

Pricing Options

Hyperstack

Lambda Labs

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

Lambda Labs

Get Started

Support & Global Availability

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources

Lambda Labs