Optimizer State Offloading kuCPU uye NVMe
Chirevo chekuchengetedza ndangariro chinomisa kuchengetwa kwebhuku kunorema kwekudzidziswa (optimizer states, gradients, dzimwe nguva uremu) muCPU RAM kana paNVMe SSDs pane kushomeka GPU memory.
Pfupiso
It lets people train far larger models than their GPU's memory would otherwise allow.
Kudzika Kwakadzika
Paunodzidzisa neural network ine optimizer senge Adamu, imwe neimwe parameter inotakura mukwende wakawedzerwa: maviri anomhanya manhamba (kumhanya uye musiyano), pamwe neiyo yakazara-chaiyo kopi yehuremu, pamwe negradient yayo. Mukudzidziswa kwakasanganiswa-chaizvo izvi zvinogona kuita zvinosvika gumi nematanhatu mabhayiti paparamita, kudikitira mabhayiti maviri ehuremu hwacho. Kuburitsa kutakura mutoro iwoyo kubva paGPU. CPU inoburitsa hova optimizer inopinda mune yakajairwa system RAM pamusoro pePCIe bhazi, ukuwo NVMe kuburitsa ichivasundidzira nzira yese kudzika kukurumidza solid-state disks. Yakasimudzirwa neDeepSpeed's ZeRO-Infinity uye ZeRO-Offload, nzira iyi inotengeserana nekumhanya kwehuwandu, ichirega imwe GPU kana diki diki-tune modhi ine mabhiriyoni emaparamita.
Technical Insight
Chinokosha ndechekupindirana kwekufamba kwedata nekombuta. Optimizer inoti inogara muCPU/NVMe; panguva yekudzokera kumashure, zvikamu zvinofanotorwa pamusoro pePCIe nguva isati yadiwa uye iyo optimizer nhanho pachayo inowanzo mhanya paCPU. ZeRO-Offload inochengeta float32 master huremu uye Adam nguva paCPU, saka yekumberi nekumashure chete math inogara paGPU. NVMe inowedzera tiered cache kuitira kuti terabyte-scale inoti iparare kune diski nepo zvikamu zvinopisa zvichigara muRAM.
Strategic Impact
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.
Ramangwana reOptimizer State Offloading kuCPU uye NVMe
Sezvo mamodheru achiramba achikura ndangariro yeGPU, kurodha kwakapetwa kuri kuita kwakajairwa kwete kwekunze. Tarisira kubatanidzwa kwakasimba nekukurumidza kusanganisa seNVLink-C2C neCXL ndangariro madziva anodzima muganho weCPU-GPU, pamwe neanoronga kuronga anofanotaura kuti ndezvipi zvinofanirwa kufanotorwa. Akabatana-memory architecture akadai saGrace Hopper anoderedza chirango chePCIe, uye masisitimu ari kusundira akananga kugadzira akawanda-tier kurodha zvakada kujeka kuitira kuti hobbyists vagone kukwenenzvera mamodheru pane zvine mwero Hardware.
Real-World Implementation
Kunyatsogadzirisa 13-bhiriyoni-parameter LLM pane imwechete 24 GB mutengi GPU uchishandisa DeepSpeed ZeRO-Offload kusundira Adam nyika kuCPU RAM.
Iyo diki yekutsvagisa lab inodzidzisa akawanda-mabhiriyoni-parameter modhi pane mashoma maGPU nekudurura optimizer nyika kuNVMe dhiraivha neZeRO-Infinity.
Hugging Face Kurumidza zvigadziriso zvinogonesa CPU kurodha kuitira kuti vashandisi vakwanise kumhanyisa akazara-tuning mabasa ayo angadai akakanda kunze-kwe-memory zvikanganiso.
Mutengo-anoziva kutanga kuhaya zvakachipa, yakaderera-yekuyeuka gore maGPU uye kurodha kune yakanamatira NVMe pane kubhadhara yepamusoro-tier 80 GB makadhi.
Njodzi & Guardrails
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.
Implementation Roadmap
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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Gaidhi rinotevera
Adam uye Adaptive Optimizers
Mibvunzo inowanzo bvunzwa
What is Optimizer State Offloading to CPU and NVMe?
Chirevo chekuchengetedza ndangariro chinomisa kuchengetwa kwebhuku kunorema kwekudzidziswa (optimizer states, gradients, dzimwe nguva uremu) muCPU RAM kana paNVMe SSDs pane kushomeka GPU memory. Inoita kuti vanhu vadzidzise mamodheru akakurisa kupfuura ndangariro dzeGPU yavo yaizobvumira.
Ndechipi chinangwa chekutanga chekuburitsa optimizer nyika kuCPU kana NVMe?
Kuburitsa kunofambisa kunorema optimizer kunobva paGPU kupinda muCPU RAM kana NVMe, kusunungura ndangariro yeGPU kuti mamodheru akakura agone kudzidziswa pane imwechete hardware.
Kune iyo Adamu optimizer mune yakasanganiswa chaiyo, ndeipi data inowanzo shandisa iyo YAKAKAWANDA ndangariro paparamende?
Adamu anochengetedza kukurumidza, musiyano, uye huremu hwakazara-chaizvo, huremu hunosvika gumi nematanhatu paparameta, zvakanyanya kudarika 2-byte hafu-chaiyo huremu.
Ndeipi dhizaini inoratidza yakakurumbira yakakura-chiyero optimizer kurodha?
DeepSpeed's ZeRO-Offload uye ZeRO-Infinity yakaunzwa uye yakakurumbira kuburitsa optimizer nyika kuCPU neNVMe pachiyero.
Ndeupi mutengo mukuru wekuita kuburitsa kuCPU kana NVMe?
Kufambisa nyika kure-GPU kunoreva kuendesa data pamusoro pePCIe kana kuNVMe, inononoka pane pa-GPU ndangariro, saka madonhwe ekubuda kunze kwekunge akaputirana nekomputa.
Masisitimu ekurodha anoviga sei yakawanda yekutamisa latency?
Vagadziri vanofanotungamira zvikamu zvinodikanwa pamusoro pePCIe iyo GPU ichiri komputa, inopindirana kutaurirana nekomputa kumasiki latency.