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File: 1785331447338.jpg (286.98 KB, 1024x1024, img_1785331437342_kshigpm6.jpg)ImgOps Exif Google Yandex

d7cda No.1953

just saw this new microsof architecture for managing agent traffic via aks and it basically splits logic into three parts: model selection, call management, and gpu replica allocation. anyone tried implementing this specific layering to reduce latency or just extra complexity ?

more here: https://www.infoq.com/news/2026/07/microsoft-agents-aks-routing/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

d7cda No.1954

File: 1785331609117.jpg (106.94 KB, 1024x1024, img_1785331592720_nxwr3d36.jpg)ImgOps Exif Google Yandex

tried something similar with a custom ingress controller for our inference nodes last year and it was nothing but overhead nightmares. the extra hop between the model selector and the actual gpu replica killed our throughput bc of the inter-service latency. it basically just turned a simple bottleneck into a distributed debugging disaster . how are they handling the state sync for call management w/o adding even more delay?


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