UMHLAHLANDLELA Wobuchwepheshe

I-Slurm ye-AI Training Clusters

I-Slurm ingumphathi womthwalo ovulekile womthombo ovulekile ohlela futhi aqhube imisebenzi kumaqoqo ekhompiyutha asebenza kahle kakhulu, futhi sekuyisinqumo esizenzakalelayo sokuqeqeshwa okukhulu kwe-AI.

2 amaminithi ukufundaIgcine ukubuyekezwa

Uhlolojikelele

It matters because it reliably distributes massive training runs across thousands of GPUs.

I-Deep Dive

I-Slurm (I-Simple Linux Utility for Resource Management) iqale ku-supercomputing futhi manje inika amandla amaqoqo amaningi okuqeqesha e-AI amakhulu emhlabeni. Abasebenzisi bahambisa imibhalo yeqoqo ene-sbatch, izinsiza zokucela njengama-node nama-GPU aneziqondiso ezifana --gres=gpu:8, kanye nolayini be-Slurm, babeka phambili, futhi baqalise umsebenzi. Isiqalisi sayo se-srun siveza izinqubo ezididiyelwe kuwo wonke ama-node, abhanqa ngokwemvelo nezinhlaka ezisabalalisiwe njenge-PyTorch DDP ne-NCCL. I-Slurm ilandelela ukubalwa kwezimali kwensiza, iphoqelela ukwabelana okufanelekile nemikhawulo yokuhlukanisa, futhi isingatha ukuhlela kokugcwalisa ukuze kufake imisebenzi emincane ezikhaleni. Ngokuqeqeshwa kwemodeli yasemngceleni, amaqembu athembele ku-Slurm ukuze alawule izinkulungwane zama-GPU, aqale kabusha ezindaweni zokuhlola ngemva kokuhluleka kwama-node, futhi agcine umthamo ozinikele wokugijima amaviki amaningi.

I-Technical Insight

I-daemon yesilawuli se-Slurm (slurmctld) yenza izinqumo zokuhlela kuyilapho i-ejenti ye-slurmd endaweni ngayinye ivula imisebenzi futhi ibika isimo. I-plugin ye-Generic Resource (GRES) ilandelela ama-GPU ukuze imisebenzi iwacele ngokusobala. I-srun isetha okuguquguqukayo kwemvelo (izinga, usayizi womhlaba, ikheli eliyinhloko) esabalalisa imitapo yolwazi yokuqeqesha efundelwe ku-bootstrap ukuxhumana kwe-NCCL. Ukuhlelwa kokugcwalisa emuva kuvumela imisebenzi emifushane ukuthi isebenze kusenesikhathi inqobo nje uma ingabambezeli ukubhukha okubaluleke kakhulu, okugcina ukusetshenziswa kuphezulu.

I-Strategic Impact

Izindleko kanye nesabelomali

Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.

Izinqumo ezicacile

Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.

Ukulawulwa kwekhwalithi

Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.

Ikusasa le-Slurm lama-AI Training Clusters

I-Slurm iyaqhubeka nokwengeza ukuqhuma kwamafu, ukusekelwa kweziqukathi nge-Pyxis ne-Enroot, nezici eziqaphelayo ze-GPU eziqinile. Njengoba amaqoqo e-AI efinyelela ku-100,000-plus GPUs, lindela ukubekezelela amaphutha okuqinile, ukuhlanganisa okuzenzakalelayo kokuhlola-ukuqalisa kabusha, nemisebenzi enwebekayo eshintsha usayizi ngemva kokwehluleka. Izinhlangano eziningi manje zisebenzisa i-Slurm eceleni noma ngaphansi kwe-Kubernetes, futhi abahleli be-hybrid bahlose ukuhlanganisa ukusebenza kahle kwesitayela se-HPC nokuguquguquka kwemvelo kwamafu kokugijima okuhlala kukhudlwana kokuqeqeshwa.

Ukuqaliswa Komhlaba Wangempela

Ilebhu yasemngceleni yethula ukuqeqeshwa kwamasonto amaningi okugijima phakathi kwezinkulungwane zama-GPU ngeskripthi esisodwa se-sbatch esicela amakhulukhulu wamanodi.

Umcwaningi uhambisa okuthi 'srun --gres=gpu:8' ukuze abambe ama-GPU ayisishiyagalombili endaweni eyodwa ukuze kuhlolwe i-PyTorch DDP.

Ukushejula kokugcwalisa emuva kubeka umsebenzi wokuhlola omfushane kuma-GPU angenzi lutho kuyilapho umjaho omkhulu wokuqeqesha obekelwe ulinde ukuqala.

Ngemuva kokuthi i-node ihluleke phakathi nokugijima, i-Slurm iphinda ilandele umsebenzi futhi iqala kabusha endaweni yokuhlola yakamuva esikhundleni sokuqala kabusha.

Izingozi & Guardrails

Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.

Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.

Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.

Ukuqalisa Umhlahlandlela

1

Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.

2

Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.

3

Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.

4

Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.

Qhubeka Uhlole

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Umhlahlandlela olandelayo

I-DeepSpeed ​​kanye ne-Megatron Training Stacks

Imibuzo evame ukubuzwa

What is Slurm for AI Training Clusters?

I-Slurm ingumphathi womthwalo ovulekile womthombo ovulekile ohlela futhi aqhube imisebenzi kumaqoqo ekhompiyutha asebenza kahle kakhulu, futhi sekuyisinqumo esizenzakalelayo sokuqeqeshwa okukhulu kwe-AI. Ibalulekile ngoba isabalalisa ngokuthembekile ukuqeqeshwa okukhulu okugijima kuzo zonke izinkulungwane zama-GPU.

Imuphi umyalo abasebenzisi abavame ukuwusebenzisa ukuthumela umsebenzi wenqwaba ku-Slurm?

I-sbatch ihambisa umbhalo wenqwaba ochaza izinsiza nemiyalo yomsebenzi kumugqa we-Slurm.

Umsebenzi we-Slurm uwacela kanjani ama-GPU?

Uhlelo lwe-Generic Resource (GRES) luvumela imisebenzi ukuthi icele ama-GPU ngokucacile, isibonelo --gres=gpu:8.

Iyiphi ingxenye ye-Slurm eyenza izinqumo ezimaphakathi zokuhlela?

I-slurmctld iyi-daemon yesilawuli ehlela imisebenzi, kuyilapho i-slurmd isebenza endaweni ngayinye ukuze iqalise imisebenzi.

Kungani i-srun ihambisana kahle nezinhlaka zokuqeqesha ezisabalalisiwe njenge-PyTorch DDP?

I-srun yethula imisebenzi evumelanisiwe kuwo wonke ama-node futhi inikeza ulwazi lwezinga kanye nekheli eliyinhloko elisetshenziswa imitapo yolwazi ku-bootstrap.

Iyini inhloso yokuhlelelwa kokugcwalisa emuva ku-Slurm?

Ukugcwaliswa ngemuva kuthuthukisa ukusetshenziswa ngokufaka imisebenzi emincane ekuhleleni izikhala inqobo nje uma ingaphindiseli emuva imisebenzi ebeyibekile.