io.net (operated by IO Research) builds the 'Internet of GPUs,' a decentralized compute network on Solana that pools hundreds of thousands of GPUs from independent suppliers into a single, on-demand cloud. Engineers can spin up GPU clusters for model training, fine-tuning, and inference at a fraction of the cost of centralized hyperscalers. Suppliers stake and earn the native IO token for contributing hardware, while workloads are orchestrated across the network using a Ray-based clustering layer. The platform targets the AI compute shortage by making distributed, geographically dispersed GPUs usable as a coherent cluster, and has connected over 100,000 GPUs since launch. io.net positions itself at the intersection of crypto incentives and AI infrastructure, with token-based settlement and a marketplace for compute.
io.net
ActiveDecentralized GPU cloud network aggregating compute for AI and ML workloads
Capital network
$40M raised ·7 backers·10 network links
- Backers7
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
Hugging Face
The AI community building the future of machine learning.
Lila Sciences
Building scientific superintelligence and autonomous AI labs for life, chemical and materials sciences.
Rebellions
Rebellions provides high-performance AI inference infrastructure, enabling efficient and scalable AI deployment for real-world applications.
Quantinuum
World's largest integrated quantum computing company
Anyscale
Production-scale AI infrastructure powered by Ray for distributed training, data curation, and batch inference.
Liquid AI
Efficient general-purpose foundation models built for edge, on-device, and cloud deployment at every scale.
- What is io.net?
- A decentralized GPU cloud that aggregates underused GPUs into clusters for AI and ML workloads.
- What blockchain does io.net use?
- It runs settlement and its IO token on Solana.
- How does io.net reduce costs?
- By sourcing idle GPUs from data centers, miners, and consumers instead of relying on centralized cloud capacity.
- Who can supply GPUs?
- Independent operators can connect hardware to the network and earn IO tokens.
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