$2.59 trillion will be spent on AI in 2026. 45%+ goes to infrastructure. Most of it centralized. Locked behind a handful of hyperscalers. @ionet CEO @Gaurav_ionet breaks down why that's a problem, and what decentralization actually fixes. New episode of @dealflowpodcast

You shouldn't need a waitlist to train a model. You shouldn't be capped by one company's GPU inventory. You shouldn't pay hyperscaler margins for compute that's sitting idle somewhere else. Compute is a global resource. io.net treats it like one.

io.net/blog/io-vs-runpod-and…

First oil. Then rare earth minerals. Now GPUs. AI chips are becoming geopolitical leverage. When access to compute depends on international politics, innovation belongs to the few, not the many. That's why open, distributed compute…

$32/hr on AWS. $2.99/hr on io.net. Same H100 SXM. That gap isn't just a discount. It's the difference between AI built for hyperscaler shareholders and AI built for everyone else. 72hrs of fine-tuning: $2,359 vs $215. No egress fees. No 8-GPU minimums when you need 4. No…