June 2023: an idea. June 2024: product-market fit. June 2025: enterprise scale. June 2026: sustainable tokenomics. Three years of building. 30M compute hours. $24M on chain revenue. The world's largest decentralized GPU network. This is what DePIN looks like when it actually works. Three years in. And it's just the beginning. io.net/blog/three-years-of-b…

It’s only been 2 days and 366531 $IO has already been burned through IDE activity That’s what happens when token economics are tied to actual network usage

At least 12 million $IO burned in year one alone. Real usage. Real scarcity. Real infrastructure. The Incentive Dynamic Engine. Watch the explainer.

That’s how real networks are built Not by hype cycles But by usage demand and systems that become stronger every time they’re used IDE is a big step for $IO

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-tokenomics…

$IO holding strength near 0.18 after a strong move up Higher lows forming Volume still healthy Market slowly realizing decentralized AI compute is not just a narrative anymore Wave two looking interesting

Decentralized compute is good. More decentralized compute is even better. And we're making that happen as launch partner for Respan Gateway. @RespanAI gives devs access to decentralized GPU compute through a single gateway to train, run, and scale AI workloads. No hyperscalers required. respan.ai/ai-gateway

One A100 instance on AWS. Or a 4-8 node cluster on io.net. Same price. That's what on-chain coordination of underutilized GPU supply actually makes possible. No centralized control. No inflated margins. No single point of failure. Just distributed hardware, verified compute, and near-instant settlement on @solana. This is what the future of AI compute looks like.

$IO showing real momentum today Price pushing toward 0.16 Volume exploding Market finally paying attention to decentralized AI compute again Quiet builders always move loud later #IONet #IO #DePIN #AI #Crypto

Only 5% of enterprise GPU capacity is being used. This is Big Tech's playbook. Buy GPUs for worst-case scenarios, leave them idle 95% of the time, price everyone else out. The dev in Nairobi. The startup in São Paulo. Priced out to subsidize someone else's dormant hardware. That's the problem io.net was built to solve. Hear @ionet AI and Financial Inclusion Strategist break it down in TechRadar👇

We risk losing control of AI. That was @AnthropicAI's warning yesterday, when they called for a global pause in AI development. The truth is something very different. "We" never had control. They did. From the beginning. @OpenAI, @AnthropicAI, and @Google account for 89% of all AI revenue. Centralized clouds and AI companies have hoarded GPUs, forced out competition, and set the agenda for what gets built, and who gets to build it. But AI isn't the problem. Concentrated power is. When compute is accessible and affordable, and models are open-source, everyone, everywhere can build. That changes everything. It's not technology engineered for corporate profits. It's technology built for people. That's what @ionet is here for. wsj.com/tech/ai/anthropic-ur…

Honoured to be named #16 on @TechRound's Most Innovative AI Companies list. While hyperscalers were building walled gardens, we've been building what devs, startups, and growing projects actually need. Affordable, accessible, and unstoppable AI compute. Instant access to thousands of GPUs. Globally distributed in over 138 countries. Zero waitlists. 70% savings. This is what the future of AI compute looks like. techround.co.uk/aitech/annou…

Live now: @ionet CEO @Gaurav_ionet is speaking with leaders from @nosana_ai, @akashnet, and @AethirCloud about the biggest questions in AI infrastructure.

2.9B tokens was the signal. 4B is the proof. Decentralized compute is already powering AI at scale. io.net x OpenRouter are proving it.

2.9 billion tokens a day on @OpenRouter was impressive. Over 4 billion a day is validation. For anyone wondering if decentralized compute can power the future of AI. Here's your answer. ai.io.net/ai/models

Centralized clouds charge you up to 70% more than you need to pay for GPU compute. Not because their chips cost more. Because you're also paying for their electricity, cooling headaches, software bundles, and egress fees. We broke down every option for GPU compute with the actual numbers. Full guide: io.net/blog/gpu-data-centers

That is massive

The future of AI depends on who controls compute. @ionet CEO @Gaurav_ionet is joining leaders from @nosana_ai, @akashnet_, and @AethirCloud for a live panel on one of the biggest questions in AI infrastructure right now. They'll tackle centralized vs decentralized compute, and what it means for builders, startups, enterprises, and autonomous agents. GPU costs are rising, access is tightening, and the stakes couldn't be higher. Sign up below 👇

Over $100K saved and no cloud headaches. io.net makes the choice easy.

Over $100,000. That's the extra cost of running 10 GPUs on @googlecloud every year vs @ionet. There are also the quota approvals, regional shortages, egress fees, and TPU lock-in. Or you can deploy in 2 minutes, skip the bureaucracy, keep the savings. The choice is easy. Here's the full breakdown: io.net/blog/io-vs-gcp