Files
neuron-tai/packages
Dobromir Popov 27818df654 feat(us-026): smart model assignment via demand×coverage scoring
/v1/network/assign now scores models by (demand_rpm + 1) × (coverage_deficit + 0.01)
so high-traffic, under-covered models are preferred when assigning new nodes.
Response includes price_per_token: 0.0 (reserved for future pricing protocol).
--memory MB flag added to node CLI to override autodetected VRAM budget for
shard assignment without changing hardware detection for inference.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-30 13:42:43 +03:00
..
2026-06-29 10:29:19 +03:00