intelligence.semurg.io

Native model serving, on the substrate.

● Building — not yet serving

Semurg Intelligence runs models natively on the substrate: weights are content-addressed containers on the same one data model as everything else — no sidecar store, no second path. The read law, the janitor packing, and predictive prefetch that serve a database page serve a model expert the same way.

Honest status

✓ Done — substrate-native weight logistics: bit-exact, no-sidecar, content-addressed.
● In progress — E4B native serve on the substrate (bring-up on the reference node).
○ Queued — interactive throughput on target CPU silicon; larger-MoE serving.

We are not going to show you a demo that isn't real. When native serve is measured and honest on this node, it appears here with the hardware and the numbers — the same "measured internally, reproduce it yourself" standard as data.semurg.io.

Follow the substrate: one.semurg.io · reproduce the board: data.semurg.io · semurg@semurg.org