AI Is running in the dark. It's time to turn on the lights. Let’s say you have a truly innovative idea and the team to launch the next great AI project. But, when you sit down to get started you immediately hit a wall. The compute you need is controlled by a handful of hyperscalers. They limit access, set prices that a

IO.NET's official blog surfaces two recent technical posts aimed at AI practitioners running workloads on its decentralized GPU network. The August 21, 2026 entry, 'H100 or H200 for DeepSeek V4 Flash? What we measured in production,' reports results from serving the same model on H100 and H200 hardware under identical The same blog feed includes an August 18, 2026 post titled 'What happens when you can't get a GPU? The hidden cost of cloud wait times,' which walks through the real cost of AWS-style GPU unavailability for AI/LLM training and inference runs. Earlier in the feed, IO.NET announced its three-year anniversary (June 12, 20

According to a paid io.net press release distributed via CoinDesk on June 11, 2026, io.net announced an Incentive Dynamic Engine (IDE) tokenomics model that will burn a minimum of 12 million $IO tokens over the coming year, with the first burn executed on June 11, 2026, coinciding with the network's third anniversary. io.net stated it now processes over 4 billion AI inference tokens per day on OpenRouter, positioning itself as a leading DePIN-native inference provider competing alongside centralized cloud providers. The press release frames this as its strongest commercial traction to date, though CoinDesk notes it is a paid release