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Developer Tools · Solana

io.net logo — Solana Developer Tools tool

io.net

Decentralized GPU compute network for AI and machine learning workloads

Developer ToolsDePIN
Healthy

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—

No reviews yet

Health

100/100

Checked 13d ago

Pricing

Paid

Pay-per-use GPU compute. Pricing…

Updated

Oct 2026

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Overview

What io.net actually does.

io.net is a decentralized physical infrastructure network (DePIN) that aggregates GPU computing power from data centers, crypto miners, and individual contributors into a unified platform for AI and machine learning workloads. Built on Solana, io.net creates a distributed GPU cloud that's significantly cheaper than centralized providers like AWS, Google Cloud, and Azure. The protocol addresses one of the most pressing bottlenecks in the AI industry: GPU scarcity. As demand for AI training and inference compute has exploded, access to GPUs has become extremely expensive and supply-constrained. io.net solves this by aggregating underutilized GPU capacity from diverse sources — gaming rigs, crypto mining farms, independent data centers — into a coherent compute platform accessible through a simple interface. io.net's GPU clusters can be deployed for a variety of AI workloads including model training, fine-tuning, inference serving, and batch processing. The platform supports popular ML frameworks like PyTorch and TensorFlow, and users can deploy workloads through a web dashboard, CLI, or API. Clusters can scale from a single GPU to thousands, with pricing that's typically 70-90% cheaper than centralized cloud providers. The network uses Solana for its settlement layer, tracking compute contributions, managing payments, and distributing IO token rewards. Solana's speed and low costs make it ideal for the high-frequency micropayments required in a compute marketplace. GPU suppliers earn IO tokens for providing compute, while consumers pay in IO or USDC for resources. Security and reliability are managed through io.net's proof-of-compute verification system, which validates that GPU suppliers are providing the compute they claim. The network also supports geographically distributed clusters for redundancy and lower latency. Verified clusters from reputable data centers are flagged for workloads requiring higher reliability guarantees. io.net has rapidly grown its supply side, aggregating hundreds of thousands of GPUs into the network from contributors worldwide. The protocol represents a significant bet on the decentralization of AI compute — if successful, it could fundamentally change how AI companies access and pay for GPU resources, shifting power from centralized cloud monopolies to a decentralized marketplace.

Live health

Uptime, SSL, response time.

Health & Activity

Uptime 30d

100.0%

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Last checked: 13d ago

Latest from @ionet

2d ago

AI is pushing prices up. Everyone’s paying for the build-out, from power to electronics. Meanwhile, access to the compute itself stays locked behind long, expensive contracts. A few tech giants collect the upside while the rest of us get the invoice. You don’t have to use AI to pay for it. But you need a big budget to build with it. That’s what https://t.co/ZuybGWvjv9 is working to change.

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Key features

What's in the box.

  • Decentralized GPU cloud aggregating compute from data centers, miners, and individuals
  • 70-90% cheaper than AWS/GCP/Azure for AI and ML workloads
  • Support for PyTorch, TensorFlow, and popular ML frameworks out of the box
  • Scalable clusters from single GPU to thousands via web dashboard, CLI, or API
  • Proof-of-compute verification ensuring GPU suppliers provide claimed resources
  • IO token for payments, rewards, and network governance on Solana
  • Geographically distributed clusters for redundancy and low-latency inference
  • GPU supplier onboarding — earn IO tokens by contributing idle GPU capacity

Verdict

The honest tradeoffs.

Pros

  • Dramatically lower compute costs make AI development accessible to smaller teams and startups
  • Massive GPU supply aggregated from diverse sources — hundreds of thousands of GPUs
  • Solana-native with fast settlement for compute micropayments and reward distribution
  • Strong DePIN narrative positioning at the intersection of crypto and AI infrastructure
  • Flexible deployment options from web dashboard to CLI suit both beginners and power users

Cons

  • Decentralized compute has reliability variance — not all GPUs are enterprise-grade
  • Complex pricing model with different tiers and GPU types can be confusing
  • Network still maturing — availability of specific GPU models can be inconsistent
  • IO token price volatility affects both compute costs and supplier earnings

Pricing

What it costs.

PAID

Pay-per-use GPU compute. Pricing varies by GPU model and cluster size. Typically 70-90% cheaper than major cloud providers. Payment in IO tokens or USDC.

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From the blog

Articles mentioning io.net.

How to Earn With Solana DePIN Projects: Helium, Hivemapper, Grass & More (2026)

How to Earn With Solana DePIN Projects: Helium, Hivemapper, Grass & More (2026)

A practical guide to earning passive income with Solana DePIN projects. Covers hardware requirements, expected earnings, setup difficulty, and ROI timelines for Helium, Hivemapper, Grass, DIMO, io.net, and Nosana.

9 min read

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