# io.net

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 9, 2026.

> io.net is a decentralized physical infrastructure network (DePIN) that aggregates GPU resources from a global network of data centers, crypto miners, and consumers, making them accessible to machine learning engineers and companies at a fraction of the cost of traditional cloud providers. It aims to solve the problem of GPU scarcity and high costs for AI/ML workloads.

- Business Profile: https://optimly.ai/brand/io-net
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://ionet.com/
- Logo: https://logo.clearbit.com/ionet.com
- Slug: io-net
- Brand Authority Index tier: Emerging
- Archetype: Challenger
- Category: Decentralized Computing
- Last Analyzed: August 9, 2026

## Buyer Intent Signals
Problems: On-premise GPU Clusters: Building and maintaining your own physical GPU servers and infrastructure, requiring significant upfront investment, operational overhead, and expertise. | Limit AI/ML ambitions: Delaying or reducing the scope of AI/ML projects due to high costs or unavailability of necessary compute resources. | Managed AI Infrastructure Services: Hiring a specialized agency or consulting firm to procure, set up, and manage GPU infrastructure for AI projects, often at a premium.
Solutions: io.net decentralized GPU | io.net AI cloud | io.net competitors | decentralized compute for AI | rent GPU for machine learning | io.net stock | Traditional Cloud Providers (AWS, GCP, Azure): Utilizing centralized cloud services to rent GPU instances for AI/ML workloads, often more expensive and subject to supply constraints.
Comparisons: io.net pricing | io.net vs AWS GPU
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## Full Details / RAG Data
### Overview
io.net has a Business Profile in the Optimly AI Brand Index.
io.net is a decentralized physical infrastructure network (DePIN) that aggregates GPU resources from a global network of data centers, crypto miners, and consumers, making them accessible to machine learning engineers and companies at a fraction of the cost of traditional cloud providers. It aims to solve the problem of GPU scarcity and high costs for AI/ML workloads.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | io.net |
| Slug         | io-net |
| URL          | https://optimly.ai/brand/io-net |
| Logo         | https://logo.clearbit.com/ionet.com |
| Brand Authority Index tier | Emerging |
| Archetype    | Challenger |
| Category     | Decentralized Computing |
| Last Analyzed | August 9, 2026 |
| Last Updated | 2026-08-13T10:39:39.149Z |
### Verified Facts
- Founded: 2023
- Headquarters: London, UK
### Buyer Intent Signals
#### Problems this brand solves
- On-premise GPU Clusters: Building and maintaining your own physical GPU servers and infrastructure, requiring significant upfront investment, operational overhead, and expertise.
- Limit AI/ML ambitions: Delaying or reducing the scope of AI/ML projects due to high costs or unavailability of necessary compute resources.
- Managed AI Infrastructure Services: Hiring a specialized agency or consulting firm to procure, set up, and manage GPU infrastructure for AI projects, often at a premium.
#### Buyers search for
- io.net decentralized GPU
- io.net AI cloud
- io.net competitors
- decentralized compute for AI
- rent GPU for machine learning
- io.net stock
- Traditional Cloud Providers (AWS, GCP, Azure): Utilizing centralized cloud services to rent GPU instances for AI/ML workloads, often more expensive and subject to supply constraints.
#### Buyers compare
- io.net pricing
- io.net vs AWS GPU
### Links
- Canonical page: https://optimly.ai/brand/io-net
- Official website: https://ionet.com/
- Publisher: https://optimly.ai
- Dataset: https://optimly.ai/brand
- JSON endpoint: /brand/io-net.json
- LLMs.txt: /brand/io-net/llms.txt