Io.net

io.intelligence offers 18 production-ready AI agents for NLP, market data, and automation through one API.

io.net's 2025: $4M+ saved across 5 case studies, 320K GPUs in 138 countries, 21 partnerships, and a tokenomics redesign. What happens when infrastructure stops being the constraint.

The Incentive Dynamic Engine (IDE) is a new way of thinking about tokenomics that ties the supply of $IO directly to how much people are actually using the network.

The page explains that GPU clouds were built for training and batch inference rather than always-on AI agents, and discusses infrastructure needs for agentic workloads.

This guide compares io.net and AWS across GPU pricing, availability, performance, and total cost of ownership, and shows how io.net can save 70%.

The page says Akash Network launched in 2020 as a marketplace for spare CPU and storage capacity and now supports GPUs, while noting limitations of its CPU-first, container-focused architecture.

The page compares io.net, Akash, and Render Network, which use underused resources, and describes io.net’s focus on affordable, scalable GPU power for AI and machine learning.

The page identifies the investors and advisors behind io.net and its decentralized GPU network.

The company operates a decentralized GPU network that provides compute power to AI startups.

Deploy 10,000 GPU cluster in 10 seconds, The Decentralized GPU Cloud

The company offers access to more than 30,000 GPUs and open-source models at up to 70% lower cost than AWS.