What is the difference between Hyperstack and TensorDock?

Hyperstack and TensorDock 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 TensorDock?

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 TensorDock?

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 11 different GPU models across both Hyperstack and TensorDock, with 0 models available from both providers.

Hyperstack vs TensorDock

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

Hyperstack

Provider 1

GPUs Available

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TensorDock

Provider 2

GPUs Available

Comparison Overview

Total GPU Models

Hyperstack GPUs

TensorDock GPUs

Direct Comparisons

Average Price Difference: $0.10/hour between comparable GPUs

View:

Hyperstack

TensorDock

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

TensorDock

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

TensorDock

Advantages

Considerations

Compute Services

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads

On‑Demand GPU

Configure per‑GPU CPU/RAM with transparent pricing.

TensorDock

Pricing Options

Hyperstack

TensorDock

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

TensorDock

Support & Global Availability

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources

TensorDock