InoteveraGaidhi rinotevera
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Tekinoroji
Nhungamiro yehunyanzvi
Nyanzvi Parallelism yeMoE Kushandira
Expert parallelism distributes a Mixture-of-Experts layer’s feed-forward experts across devices.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
It can reduce the expert weights held per device, while routing and communication costs affect whether serving is efficient.
Kudzika Kwakadzika
A Mixture-of-Experts (MoE) layer inotsiva imwe hombe yekudyisa-mberi network ine madiki akawanda (nyanzvi) pamwe ne router inotora yepamusoro-k (kazhinji 1 kana 2) nyanzvi pachiratidzo. Nyanzvi parallelism (EP) inoisa nyanzvi dzakasiyana pamaGPU akasiyana. Pakunongedza, iyo router inosarudza kuti ndedzipi nyanzvi dzinoda chiratidzo chega chega, ipapo nhanho-kune-zvese yekutaurirana inoshura tokens kumaGPU akabata nyanzvi dzavanosarudza, inomhanyisa FFN, uye inoshura mhinduro kumashure. Izvi zvinoita kuti modhi ive nehombe yakazara paramita (sparse) uku uchingoshandisa chikamu chidiki pane tokeni (yakaderera FLOPs). Mienzaniso yakaita seMixtral 8x7B, DeepSeek-V3, uye GPT-OSS inoshandisa izvi. Mativi akaoma ari kuyera kuyera kune nyanzvi uye maviri anodhura ese-kune-ese hops padanho.
Kuitwa muNyika yeChokwadi
Kushandira Mixtral 8x7B mhiri kwe2-4 GPUs nekuisa 2-4 yenyanzvi dzayo 8 pane chimwe nechimwe.
DeepSeek-V3 uchishandisa node-yakaganhurirwa nzira yekuvharisa kuti ingani node nyanzvi dzechiratidzo dzinotora, kucheka inter-node zvese-kune-zvese.
Uchishandisa vLLM kana SGlang nyanzvi-parallel modhi yekutambira 200B+ sparse modhi pane imwechete 8-GPU node.
Kubatanidza nyanzvi parallelism ne tensor parallelism pane yekutarisisa maseru mune yakasanganiswa EP + TP kutumirwa.
Ramangwana reNyanzvi Parallelism yeMoE Kushandira
Tarisira yakasimba co-dhizaini yenzira uye hardware: fused dispatch-compute-combine kernels, mapoka maGEMM anounganidza nyanzvi dzakawanda, uye NVLink/InfiniBand-inoziva zvese-kune-zvose. Matekiniki akadai seDeepSeek's anobatsira-kurasikirwa-yemahara kuenzanisa uye node-yakaganhurirwa nzira inoderedza mhiri-node traffic. Kushandira kwakapatsanurwa kuchatsaurira 'nyanzvi' maGPU akaparadzana kubva kutarisisa maGPU, uye hombe nyanzvi kuverenga (mazana) ine yakatsetseka yepamusoro-k inosundira MoE kune yakanyanyisa sparsity uku ichichengeta per-token mutengo wakafuratira.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
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Zviedze iwe pachako
Take the Expert Parallelism for MoE Serving quiz
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Mibvunzo inowanzo bvunzwa
Chii chinonzi Nyanzvi Parallelism yeMoE Kushandira?
Expert parallelism distributes a Mixture-of-Experts layer’s feed-forward experts across devices. It can reduce the expert weights held per device, while routing and communication costs affect whether serving is efficient.
Chii chinonzi parallelism nyanzvi inogovera mhiri kweGPUs?
Nyanzvi parallelism inoisa nyanzvi dzakasiyana (iyo FFN sub-network yeMoE layer) pamaGPU akasiyana, saka mudziyo wega wega unongobata chikamu chenyanzvi.
Ndeipi nzira yekutaurirana iri pakati peMoE nyanzvi parallelism?
Imwe neimwe MoE layer inoda zvese-kune-zvese kutumira tokens kune nyanzvi dzavo uye imwezve-kune-zvese kubatanidza zvinobuda kumashure.
Nei MoE ichichengeta per-token compute yakaderera kunyangwe yakakura yakazara paramita?
Router inomutsa chete top-k nyanzvi (kazhinji 1-2) pachiratidzo, saka maFLOP anogara ari madiki kunyangwe modhi ine nyanzvi dzakawanda.
Ndeipi dambudziko rinomuka nekuti nzira inotsamira data?
Sezvo sarudzo dze router dzichienderana nekupinza, dzimwe nyanzvi dzinogamuchira akawanda akawanda ma tokens kupfuura mamwe, achigadzira kusaenzana kwemutoro uye stragglers.
Why are capacity limits and padding used in some MoE implementations?
Capacity-limited designs can pad or drop work, but dropless approaches also exist. This is an implementation choice rather than a universal serving requirement.
Ramba uchidzidza
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