Topic - Edition
Decheng Dai of Anthropic shares the architecture, performance challenges and lessons behind a topology-aware Kubernetes scheduler built for frontier AI training at enormous cluster scale. Join us November 9-12 in Salt…
Qianru Lao of OpenAI explores proxy/controller patterns for routing LLM inference across Kubernetes clusters, accelerator-backed engines, changing demand and geographic regions. Join us November 9-12 in Salt Lake City.…
Live sports involve myriad unknowns, but one thing is certain: the live video feed must play flawlessly, and simultaneously, for The post Here are the engineering lessons we learned when live-streaming sports to 32…
For most of software’s history, building meant writing code. Not just understanding it, but producing it. The entry point was The post AI has lowered the barrier to building. Here’s what that means for engineers.…
Christian Schaller, a Red Hat engineering director and longtime GNOME and Fedora contributor, had a box of old family negatives The post His scanner wouldn’t work on Linux — so he let Claude study the Windows driver…
Kubernetes has always relied on agents, just not the kind dominating today’s AI conversations. A controller watches the current state, The post AI agents vs. Kubernetes: where each belongs in the control loop appeared…
