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GPU Cloud · NVIDIA · Hopper

Yi Hayar GPU ta NVIDIA H100 SXM Mai 80 GB VRAM

Yi hayar sabar GPU ta girgije ta H100 SXM a kowace sa'a a Cloudj: 80 GB VRAM, NVIDIA Hopper, kusan 53.5 TFLOPS FP32 da 2869 GB/s na bandwidth na ƙwaƙwalwa. Tare da iyakar ƙarfi ta 700 W, wannan shine H100 ga ƙungiyoyin da ke horaswa, daidaitawa (fine-tune) da tura manyan samfura kuma suke son samfurin Hopper mafi sauri a cikin jerin don aikin sarrafa lissafi (compute). Fara tsarin PyTorch, vLLM ko Unsloth sannan ka haɗu ta SSH a matakai kaɗan.

Bayanan fasaha na H100 SXM

VRAM a kowace GPU

80 GB

Ginin fasaha

NVIDIA Hopper

Ikon lissafi (Compute capability)

9

Lissafin FP32

≈ 53.5 TFLOPS

Gudun ƙwaƙwalwa (Bandwidth)

≈ 2869 GB/s

Ƙayyadaddun wutar lantarki

700 W

Ƙimomin da mai samar da kayan aiki ya bayar don na'urorin da aka jera a yanzu; ainihin aikin ya bambanta dangane da na'ura.

Tsare-tsare da farashin H100 SXM na yanzu

Kayan da ke akwai da farashin kai tsaye, ana sabunta su akai-akai. Ana tabbatar da farashin ƙarshe kafin ka yi oda.

Yi haya yanzu

Abubuwan da za ka iya gudanarwa a kan cloud GPU na H100 SXM

Horaswa mai buƙatar ƙarfin sarrafa lissafi mai yawa

53.5 TFLOPS FP32 da iyakar ƙarfin wuta ta 700 W suna ba H100 SXM mafi yawan ƙarfin sarrafa lissafi a cikin duk wani katin Hopper da aka lissafa a nan.

Saurin inference na LLM

2869 GB/s na bandwidth yana hanzarta fitar da kalmomi (token generation) don samfuran 13B–34B a cikin 16-bit ko samfuran 70B da aka yi wa quantized.

Cikakken fine-tuning na samfuran 7B–13B

80 GB yana ba da sarari don cikakken fine-tuning na kowane fanni (full-parameter) na ƙananan LLMs, ba kawai adapters ba, tare da daidaitattun saitin optimizer.

Horas da samfuran diffusion da na bidiyo

Horas ko yi wa samfuran hoto da na bidiyo fine-tuning inda ƙwaƙwalwa da ƙarfin sarrafa lissafi ke tantance tsawon lokacin da aiki zai ɗauka.

Shin H100 SXM ita ce GPU da ta dace da aikinku?

Zaɓi H100 SXM lokacin da ayyukan horaswa ko na inference ɗinku ke buƙatar 80 GB na babban bandwidth na ƙwaƙwalwar cibiyar bayanai da siffofin tsarin Hopper. GPU na workstation ko na masu amfani na yau da kullun zaɓi ne mafi dacewa don ayyukan ƙirƙira marasa nauyi ko ƙananan samfura, yayin da sabuwar GPU ko mai ƙarfin aiki ta cibiyar bayanai ta fi dacewa idan sabar guda ɗaya ba za ta iya ɗaukar duka samfurinku a cikin 80 GB na VRAM ba.

H100 SXM idan aka kwatanta da sauran cloud GPU

GPUVRAM a kowace GPULissafin FP32Ƙayyadaddun wutar lantarki
NVIDIA H100 SXM80 GB≈ 53.5 TFLOPS700 W
NVIDIA H100 PCIE80 GB≈ 41 TFLOPS350 WCikakken bayani →
NVIDIA A800 PCIE80 GB≈ 15.6 TFLOPS300 WCikakken bayani →
NVIDIA H100 NVL94 GB≈ 48.3 TFLOPS400 WCikakken bayani →
NVIDIA CMP 170HX64 GB≈ 12.1 TFLOPS250 WCikakken bayani →

Cloud GPU na H100 SXM: tambayoyin da aka fi yi

Yi hayar cloud GPU na H100 SXM a kowace sa'a

Zaɓi samfuri, zaɓi tsari na kai tsaye, sannan ka haɗa ta SSH ko terminal na browser. Caji na tsayawa da zarar ka goge GPU ɗin.