io.net

The future of AI compute doesn't run on hype. It runs on real utility, real burns, and a network that gets stronger every time it's used. The Incentive Dynamic Engine (IDE) is now live! io.net/blog/a-new-tok…

Meta's Louisiana data center is now projected to cost $250 billion+. That's not a buildout. That's a bottleneck. When one facility costs the same as New Zealand's GDP, something has gone wrong. @ionet changes the equation. No land acquisition. No permitting delays. No quarter-trillion-dollar blank check. Just affordable, accessible compute for builders everywhere. bloomberg.com/news/articles/…

Access. It's a driving force at io.net. We want to give as many people as possible the tools to build. That starts with our new UI. Redesigned dashboard. Fewer clicks to a GPU. Clear pricing. No jargon. Because decentralization means nothing if the interface keeps people out. Live now.

$140B+ market. One real shift underneath it. Compute used to mean waitlists, minimum commitments, and paying for capacity you don't use. io.net flips that. Rent exactly what you need, when you need it, at up to 70% lower cost than centralized clouds. Burst for inference spikes. Baseline for steady workloads. No lock-in either way. io.net is what access-first infrastructure looks like. io.net/blog/the-state…

One month of the IDE. 1.1M+ $IO burned since June 11th. 122K+ device hours driving those burns. 2.5M $IO rewards paid out. This is what a token backed by customers looks like. Usage burns the token. Revenue pays the network. This isn't a roadmap update. It's a receipt.

io.net is joining Internet Court as a founding partner to build open standards for agent-to-agent contracts. io.net has already processed 320 billion+ AI inference tokens. Agent Cloud lets agents provision that compute autonomously. Now, Internet Court gives them a way to trust each other while they do it. This is what decentralized compute for the agentic era looks like. Live now.

$7 trillion. That's how much will be spent on building out data centers by 2030. Over 5% of world GDP. Someone pays for that. Energy costs, grid strain, and access to compute itself. That's why we built io.net. Immediate access. Up to 70% less than hyperscalers. No lock-in. Today, not after a $7T buildout finishes.

$4+/hr, an 8-GPU minimum, and a 5-year contract. Or instant access at a fraction of the cost, scaled to what you actually need. That's the choice in front of AI teams right now. Enterprise-grade doesn't have to mean "locked in." Check out the full breakdown.

Live now! Hear @ionet CEO @Gaurav_ionet break down if decentralization is critical to safe AI. youtube.com/live/8Ckc3seO5…

1,000,000 $IO burned. And that's just the first month. This isn't just a milestone, it's a mechanism. Every unit of compute demand on the network feeds the burn. More usage, more burn, tighter supply. $25.75M in total network earnings and counting. This is what real utility looks like.

5.3x. That's io.net's market cap to 30-day annualized revenue. The tightest ratio in DePIN. No large treasury spend chasing volume. No emissions propping up the story. Just $12M+ in real, verifiable annualized revenue from customers actually using the network. When the product does the work, the multiple takes care of itself.

@coinbureau 1,000x more compute. 100x more users. Jensen's math only works if you can afford the GPUs. Most builders can't. Decentralized compute isn't just the alternative anymore. It's the only math that scales with everyone, not just whoever's first in line for allocation.

🎥WATCH: NVIDIA CEO EXPLAINS WHY AI NEEDS 1,000X MORE COMPUTE "The amount of computation necessary for generative AI is like thousand times more." "Then you multiply that by the number of people who now want to use it by a hundred times. Which is the reason why GPU consumption is going through the roof."

@awscloud io.net/blog/distribut…

64 H100s, 10 days. @awscloud on-demand: $62,918. @ionet: $22,886. Same fine-tune. Two price tags. Hyperscalers gate capacity behind enterprise agreements and quota approvals. @ionet pulls from idle GPUs across 130+ countries and spins up in minutes. That's the difference between a platform built for builders, and one built for corporate profits.

It's 2 AM and you need 8 H100s for a sweep. @awscloud: quota check → capacity check → maybe a 3-10 day wait. @ionet scheduler match in 28 seconds. Training running in under 4 minutes. No quota tickets or waiting on someone else's reservation. Just live bids, matched instantly, so you can keep building io.net/blog/why-decen…

This deserves a headline re-write: "Nvidia offers to give compute away for free now so they can take more later." This isn't a solution. It's kicking the problem down the field. The real solution is affordable compute that isn't reliant on AI monopolies. Decentralized compute makes it possible.

Chipmaker Nvidia says it is entering revenue-sharing agreements with fast-growing start-ups, in a move which will see customers swap access to compute power for a slice of future profits. The artificial intelligence chip leader says its new partnership program, announced Thursday, offers fast-growing AI startups token credits to power their development. Click here to read more: cnb.cx/44HARRn