Hyperstack vs IO.NET

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

Hyperstack logo

Hyperstack

Provider 1

12
GPUs Available
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IO.NET logo

IO.NET

Provider 2

4
GPUs Available
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Comparison Overview

13
Total GPU Models
Hyperstack logo
12
Hyperstack GPUs
IO.NET logo
4
IO.NET GPUs
3
Direct Comparisons

Average Price Difference: $0.43/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 13Both available: 3Hyperstack: 12IO.NET: 4
Showing 13 of 13 GPUs
Last updated: 2/22/2026, 1:54:51 AM
A100 PCIE
40GB VRAM •
HyperstackHyperstack
$1.35/hour
Updated: 3/31/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
HyperstackHyperstack
$1.35/hour
Updated: 2/21/2026
Best Price
Not Available
A40
48GB VRAM •
HyperstackHyperstack
$0.60/hour
4x GPU configuration
Updated: 6/25/2025
Best Price
Not Available
H100
80GB VRAM •
HyperstackHyperstack
$1.90/hour
Updated: 2/21/2026
Best Price
IO.NETIO.NET
$1.99/hour
Updated: 2/20/2026
Price Difference:$0.09(4.5%)
H100 NVL
94GB VRAM •
HyperstackHyperstack
$1.95/hour
Updated: 2/21/2026
Best Price
Not Available
H100 PCIe
80GB VRAM •
HyperstackHyperstack
$1.52/hour
Updated: 2/20/2026
Best Price
IO.NETIO.NET
$1.70/hour
Updated: 2/20/2026
Price Difference:$0.18(10.6%)
H200
141GB VRAM •
HyperstackHyperstack
$3.50/hour
Updated: 2/21/2026
IO.NETIO.NET
$2.49/hour
Updated: 2/20/2026
Best Price
Price Difference:+$1.01(+40.6%)
L40
40GB VRAM •
HyperstackHyperstack
$1.00/hour
Updated: 2/21/2026
Best Price
Not Available
RTX 4090
24GB VRAM •
Not Available
IO.NETIO.NET
$0.50/hour
Updated: 2/20/2026
Best Price
RTX 6000 Ada
48GB VRAM •
HyperstackHyperstack
$4.40/hour
4x GPU configuration
Updated: 7/31/2025
Best Price
Not Available
RTX A4000
16GB VRAM •
HyperstackHyperstack
$0.15/hour
Updated: 2/21/2026
Best Price
Not Available
RTX A5000
24GB VRAM •
HyperstackHyperstack
$1.00/hour
4x GPU configuration
Updated: 7/31/2025
Best Price
Not Available
RTX A6000
48GB VRAM •
HyperstackHyperstack
$0.50/hour
Updated: 2/21/2026
Best Price
Not Available

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

IO.NET

  • Massive Decentralized Network

    Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs

  • Rapid Deployment

    Deploy clusters in under 90 seconds with auto-scaling capabilities

  • Multiple Deployment Options

    Choose from containers, Ray clusters, or bare metal based on workload needs

  • Built on Ray.io

    Uses the same distributed computing framework that OpenAI used to train GPT-3

  • IO Intelligence

    AI models, smart agents, and API integration for workflow automation

  • Mesh VPN Security

    Kernel-level VPN with secure mesh protocols for data protection

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

IO.NET

Advantages
  • Up to 90% cost savings compared to AWS, GCP, and Azure
  • Fastest deployment time in the industry (under 90 seconds)
  • Massive global network with 300,000+ GPUs available
  • No waitlists, approvals, or long-term contracts required
Considerations
  • Newer platform compared to established cloud providers
  • Decentralized nature may have performance consistency variations
  • Primarily crypto-native payment model ($IO tokens)

Compute Services

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads with flexible pricing

On‑Demand GPU

Configure per‑GPU CPU/RAM with transparent published pricing.

IO.NET

IO Cloud

On-demand GPU clusters for AI/ML workloads with multiple deployment options

IO Intelligence

AI models, smart agents, and API integration platform

  • Custom AI model deployment
  • Intelligent agent framework
Marketplace

Decentralized pool of GPU providers with unified APIs and competitive pricing.

Pricing Options

Hyperstack

IO.NET

Ray Cluster Pricing

Most cost-effective option for distributed ML workloads using Ray framework

Container Pricing

Standard containerized deployments with Docker support

Bare Metal Pricing

Premium pricing for direct hardware access and maximum performance

Auto-scaling

Dynamic pricing based on actual resource usage with automatic scaling

Getting Started

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

  1. 1
    Sign up for IO.NET

    Create an account on the IO.NET platform with no complex KYC requirements

  2. 2
    Acquire $IO tokens

    Purchase $IO tokens for compute payments or add other supported payment methods

  3. 3
    Choose deployment type

    Select from containers, Ray clusters, or bare metal based on your workload

  4. 4
    Configure cluster

    Specify GPU requirements, region preferences, and scaling options

  5. 5
    Deploy in seconds

    Launch your cluster in under 90 seconds and start your AI/ML workloads

Support & Global Availability

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources

IO.NET

Global Regions

Global distributed network across 139 countries with intelligent geographic clustering and latency optimization

Support

Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions