Dragrush Engineering • Index
Rigorous engineering breakdowns, distributed systems analysis, and infrastructure optimization logs from the Dragrush core team.
Replacing synchronous monoliths with fluid, asynchronous edge-filtration to reclaim CPU overhead and cure AI starvation in the Optimus platform.
Read Technical PostAn architectural deep dive into a simplified TiEE model comparing heavyweight thread assumptions with lightweight asynchronous tasks, including 200k req/s and 99.4% utilization as benchmark targets rather than verified production results.
Read Technical PostAn upcoming analysis on removing kernel bottlenecks in multi-tenant NVIDIA cluster environments. [Coming Soon]
In Pipeline