Decentralised Inference | Everything You Need To Know With Kevin Simback

Zion, hear me! For Season 2 of the Mere Morpheus podcast I'm going to be uploading the Morpheus builder weekly updates. My reason for doing this is to make it more accessible for those who want an update directly via their podcast app and to have them all in one place. If you'd like to participate they are held weekly on the @MorpheusAIs Twitter spaces. So enjoy Episode #81!

Recorded: 9 July 2026

AI SUMMARY: This week's episode opened with a Morpheus network update highlighting node version 7.5 a key release for providers. It introduces provider self‑reporting where nodes test their configured internal models on boot and hourly reporting whether downstream endpoints are working. This gives providers better troubleshooting data and offers the network a clearer picture of health at the bid level without inflating throughput numbers with artificial checks. A milestone update noted Morpheus has processed over 20 billion tokens year to date with July on pace to be the first 10 billion token month.

The conversation then shifted to a discussion with Kevin Simback of Delphi on decentralized AI focusing on four hard problems: sharded inference for large models model verification privacy across nodes and balancing supply and demand in the marketplace. The talk explored why decentralized AI grows in importance amid concerns over centralized provider dependence government controls privacy and vendor lock‑in. The episode wrapped with Rob sharing the evolution of Cashew into Morscan an open‑source scanner designed to give the community a transparent view into marketplace activity and network analytics.

Timeline:

(00:00:00) Intro

(00:00:30) Node 7.5 rollout and provider self reporting

(00:05:43) Throughput growth and a 10 billion token month pace

(00:07:57) Introducing Kevin Simback and the DeAI discussion

(00:10:05) The four hard problems in decentralized AI

(00:17:37) Composability across DAI projects and shared progress

(00:26:01) Who will adopt DAI first: consumers or enterprises