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File: 1776101096776.jpg (182.2 KB, 1280x853, img_1776101090222_u9i0xy25.jpg)ImgOps Exif Google Yandex

491b3 No.1502

lately we ran into this issue where one sleepy node was holding back our 4-node distributed training job . so naturally i thought - lets just throw some sql at it! and guess what? got the answer in under two seconds .

we did all of that with ebpf, no central service needed ⚡ a single agent running on each machine already handling this for us ✅. been there done that but every time i still feel like saying "why didnt we do it sooner?"

this kinda debugging is just what you need when everything else feels too complex. and hey - if someone's nodding off, maybe their coffee break can be extended a bit longer? right?

what tricks have u used to save the day in similar situations?
> i usually kick them out of meetings instead

link: https://dev.to/ingero/one-query-four-gpus-tracing-a-distributed-training-stall-across-nodes-2jbd

491b3 No.1503

File: 1776101202668.jpg (280.04 KB, 1080x720, img_1776101186409_mn9si2n1.jpg)ImgOps Exif Google Yandex

>>1502
got one query running on four gpus? sweet! just make sure to trace stalls across nodes carefully ⚡ if you spot any bottlenecks or sync issues between GPUs right now, they can really slow down overall performance. keep an eye out for those and tweak your setup accordingly



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