I-A100 SXM4 noma i-A100 PCIE: iyiphi okufanele ngiyikhethe?

Izibalo zememori, i-FP32 ne-bandwidth ezibaliwe ziyafana: 40 GB, 15.6 TFLOPS kanye no-1313 GB/s. I-SXM4 isebenza ku-400 W esikhundleni sika-250 W, ngakho-ke yikhethele imisebenzi esindayo eqhubekayo, kanti ikhadi le-PCIE likhethe lapho noma yikuphi kwamukelekile futhi ufuna ukunikezwa okubukhoma okushibhile.

Ingabe i-40 GB yanele ukwenza i-fine-tune yemodeli engu-70B?

Hhayi ngokukhululeka. I-40 GB ilawula i-LoRA kumamodeli angu-7B–13B kanye ne-QLoRA kumamodeli anosayizi ophakathi nendawo. Ukuze wenze i-fine-tuning yohlobo lwe-70B bheka amakhadi angu-80 GB namakhulu kakhulu afana ne-H100 SXM noma i-H200 NVL.

Ingabe i-A100 SXM4 iyakusekela ukusebenza kwe-BF16?

Yebo. I-Ampere enekhono lokubala (compute capability) 8.0 iyayisekela i-BF16, okuwukuqondisa okuzenzakalelayo (default precision) kokuqeqeshwa okuningi kwamanje kwe-LLM nezindlela zokwenza i-fine-tuning.

Ibhilwa kanjani iseva ye-A100 SXM4 ku-Cloudj?

Amaseva akhokhelwa ngehora abizwa ngehora ngalinye kusukela kubhalansi ye-akhawunti yakho ngesikhathi esebenza; iseva yehora emisiwe ikhokhela kuphela idiski yayo. Izikhathi zokukhokha zanyanga zonke nezinde nazo ziyanikezwa, kanti nanoma yisiphi isaphulelo siboniswa ngaphambi kokuba ukhokhe.

GPU Cloud · NVIDIA · Ampere

Qasha i-NVIDIA A100 SXM4 GPU ene-40 GB VRAM

Qasha ama-GPU e-A100 SXM4 ngehora ku-Cloudj: i-40 GB VRAM ku-NVIDIA Ampere enomkhawulo we-bandwidth yememori ecishe ibe ngu-1313 GB/s kanye nomkhawulo wamandla ongu-400 W womsebenzi we-AI oqhubekayo. Yakhelwe amaqembu aqhuba imisebenzi emide yokuqeqesha noma ukusebenzisa amamodeli futhi adinga ukubekezelela ukushisa kwemojula ye-SXM, inikeza i-15.6 TFLOPS FP32 kanye ne-compute capability 8.0. Khetha ukulungiselelwa bukhoma kwe-A100 SXM4, qala ngethempulethi ye-PyTorch noma i-vLLM bese uxhuma nge-SSH.

Qasha i-A100 SXM4 Wonke ama-GPU

Imininingwane ye-A100 SXM4

VRAM nge-GPU ngayinye

40 GB

Architecture

NVIDIA Ampere

Compute capability

Ukubala kwe-FP32

≈ 15.6 TFLOPS

I-bandwidth yememori

≈ 1313 GB/s

Umkhawulo wamandla

400 W

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

Izilungiselelo zamanje nezintengo ze-A100 SXM4

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

Qasha manje

Ongakusebenzisa ku-cloud GPU ye-A100 SXM4

Imisebenzi yokuqeqesha ethatha isikhathi eside

Umkhawulo wamandla ongu-400 W ulungele ukuqeqeshwa kwe-BF16 kwamahora amaningi lapho ama-clock kumele ahlale ezinzile kusukela ku-epoch yokuqala kuya kweyokugcina.

Ukusetshenziswa kwe-LLM ezingeni lokukhiqiza

Gcina imodeli engu-13B nge-16-bit noma imodeli e-quantized yohlobo lwe-30B ngemuva kwe-vLLM noma i-SGLang, bese uhlola i-throughput ngaphambi kokuba uzibophezele kwingqalasizinda.

Ukulungisa imiyalelo (instruction tuning) nge-Unsloth

Qhuba i-LoRA noma i-QLoRA kumamodeli angu-7B–13B anokulandelana okude kakhulu kunalokho okuvunyelwa ikhadi elingu-24 GB.

Ukuphinda ucwaningo

Phinda usebenzise amaphepha ocwaningo abekwe uphawu lwe-benchmark kwi-hardware yohlobo lwe-A100 kwi-architecture efanayo ye-Ampere nosayizi wememori ofanayo.

Ingabe i-A100 SXM4 iyi-GPU efanele umsebenzi wakho?

Khetha i-40 GB A100 SXM4 lapho imisebenzi yakho yokuqeqesha noma ye-inference idlula imikhawulo yememori yama-GPU ajwayelekile futhi idinga i-bandwidth yememori ye-datacenter. Khetha i-datacenter GPU ene-VRAM ephakeme uma amamodeli akho angaka-quantizwa edlula i-40 GB, noma khetha ikhadi elincane le-workstation noma elajwayelekile lokuthuthukisa kanye ne-inference elula.

A100 SXM4 uma iqhathaniswa nama-cloud GPU afanayo

GPU	VRAM nge-GPU ngayinye	Ukubala kwe-FP32	Umkhawulo wamandla
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Imininingwane →
NVIDIA A40	45 GB	≈ 29.9 TFLOPS	300 W	Imininingwane →
NVIDIA L40S	45 GB	≈ 73.3 TFLOPS	350 W	Imininingwane →
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W	Imininingwane →

I-cloud GPU ye-A100 SXM4: imibuzo evame ukubuzwa

Qasha i-cloud GPU ye-A100 SXM4 ngehora

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

Qasha i-A100 SXM4 Wonke ama-GPU