Ingabe i-Tesla V100 iyayisekela i-BF16?

Cha. I-Volta (compute capability 7.0) isekela izibalo ze-FP16 Tensor Core kodwa hhayi i-BF16. Ama-recipe adinga i-BF16 adinga i-Ampere noma i-GPU entsha njenge-A100 noma i-RTX 3090.

I-Tesla V100 noma i-RTX 4060 Ti 16 GB?

Zombili zine-16 GB. I-V100 ibhalwe nge-bandwidth ephakeme kakhulu, 780 uma kuqhathaniswa ne-236 GB/s, okusiza ukucacisa kwe-LLM; i-RTX 4060 Ti ine-FP32 eyengeziwe (21.6 TFLOPS) kanye nokusekelwa kwe-BF16 ku-Ada Lovelace.

Ngingakwazi yini ukulungisa kahle (fine-tune) ama-LLM ku-V100?

Amancane kuphela. I-QLoRA kumamodeli e-7B ingena ku-16 GB, isebenzisa i-FP16 esikhundleni se-BF16. Kumamodeli amakhulu noma ukulandelana okude, i-card engu-24 GB noma 40 GB iyona esebenzayo kakhulu.

Ngiqala kanjani nge-Tesla V100 ku-Cloudj?

Khetha ithempulethi esekela i-Volta, khetha ukucushwa kwe-V100 okukhona bese uqinisekisa intengo. Xhuma nge-SSH noma nge-terminal yesiphequluli; ukukhokhisa kwenzeka ngehora ngaphandle uma ukhetha umjikelezo omude.

GPU Cloud · NVIDIA · Volta

Qasha i-NVIDIA Tesla V100 GPU ene-16 GB VRAM

Qasha amaseva e-cloud GPU e-Tesla V100 ngehora ku-Cloudj: 16 GB VRAM, NVIDIA Volta kanye ne-bandwidth yememori ecishe ibe ngu-780 GB/s ene-12.5 TFLOPS FP32. I-V100 yethula ama-Tensor Core futhi isalokhu iyi-card ye-datacenter eqinile yokuqeqeshwa kwe-FP16 mixed-precision, ukukhiqiza kabusha ucwaningo kanye ne-inference yosayizi ophakathi nendawo emkhawulweni wamandla ongu-300 W. Khetha ithempulethi ye-PyTorch, hlola izidingo zayo ze-CUDA bese uxhuma nge-SSH.

Qasha i-Tesla V100 Wonke ama-GPU

Imininingwane ye-Tesla V100

VRAM nge-GPU ngayinye

16 GB

Architecture

NVIDIA Volta

Compute capability

Ukubala kwe-FP32

≈ 12.5 TFLOPS

I-bandwidth yememori

≈ 780 GB/s

Umkhawulo wamandla

300 W

Amanani abikwa umhlinzeki wengqalasizinda yemishini ebalwe ohlwini njengamanje; ukusebenza kwangempela kuyehluka ngomshini ngamunye.

Izilungiselelo zamanje nezintengo ze-Tesla V100

Isitoko esibukhoma nezintengo, kubuyekezwa ngokuqhubekayo. Intengo yokugcina iqinisekiswa ngaphambi kokuba u-ode.

Qasha manje

Ongakusebenzisa ku-cloud GPU ye-Tesla V100

Ukuqeqeshwa kwe-FP16 mixed-precision

Ama-Volta Tensor Core asheshisa ukuqeqeshwa kwe-FP16 kuma-CNN, ama-transformer amancane namamodeli enkulumo.

Khiqiza kabusha imiphumela eshicilelwe

Amaphepha amaningi nezisekelo zocwaningo kwaqeqeshwa kuma-V100; kuphinde usebenzisa i-architecture efanayo ukuze uthole izibalo eziqhathanisekayo.

Ama-LLM e-7B quantized

I-16 GB igijima amamodeli e-7B–8B ku-8-bit noma amamodeli ekilasi le-13B ku-4-bit ukuhlola kanye nokuhlinzeka okulula.

I-HPC ne-computing yesayensi

I-bandwidth engu-780 GB/s isiza ukulingisa (simulations), ama-solver kanye namakhodi esayensi aboshwe yimemori.

Ingabe i-Tesla V100 iyi-GPU efanele umsebenzi wakho?

I-16 GB Tesla V100 ifanele abacwaningi nabathuthukisi abadinga i-bandwidth yememori ephezulu yamamodeli amancane naphakathi kanye nemisebenzi yesayensi ngaphandle kokukhokhela i-hardware entsha ye-datacenter. Khetha i-GPU yabathengi encane yokuthuthukisa okuyisisekelo okunezidingo eziphansi zememori, noma khuphukela ku-GPU yesizukulwane esisha ene-VRAM enkudlwana uma amamodeli akho edlula i-16 GB noma edinga izici ezintsha ze-architecture ezingale kwe-compute capability 7.0.

Tesla V100 uma iqhathaniswa nama-cloud GPU afanayo

GPU	VRAM nge-GPU ngayinye	Ukubala kwe-FP32	Umkhawulo wamandla
NVIDIA Tesla V100	16 GB	≈ 12.5 TFLOPS	300 W
NVIDIA L4	22 GB	≈ 24.2 TFLOPS	72 W	Imininingwane →
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W	Imininingwane →
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Imininingwane →
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W	Imininingwane →

I-cloud GPU ye-Tesla V100: imibuzo evame ukubuzwa

Qasha i-cloud GPU ye-Tesla V100 ngehora

Khetha ithempulethi, khetha izilungiselelo zamanje bese uxhuma nge-SSH noma itheminali yesiphequluli. Ukukhokhisa kuyama uma ususa i-GPU.

Qasha i-Tesla V100 Wonke ama-GPU