IOTA (IOTA)

"Frontier labs spend millions of dollars a year on workload prioritization. iota is a way to democratize that for training."

Co-founders @WSquires and @macrocrux appeared on Hash Rate, discussing @IOTA_SN9's economic benefits, showing how flexible training can fill idle GPU capacity around inference demands - driving utilization and profitability for GPU owners.

Alongside this, they explored our Orion-100B pretraining run on iota’s architecture, @Apex_SN1’s partnership competition with @AureliusAligned, and our upcoming Hackathon appearance at Imperial College London.

Learn more about @WSquires’ economic thesis for iota here, covering:

- Why efficiency, not mere capacity, decides who wins

- Where AI value is created, training spends the capital, inference earns it back

- The unit economics of liquid training, proven out by Orion-100B

https://t.co/ZtHhxmO4Pf

More to come regarding iota’s economic case in the following days.

Tomorrow co-founders @WSquires and @macrocrux will be appearing on @markjeffrey’s Hash Rate podcast.

We will be discussing @IOTA_SN9 and our Orion-100B pretraining run, along with our @Apex_SN1 competitions and upcoming hackathon at Imperial College London. https://t.co/Dp42jp6sCP