I-H100 PCIE noma i-A100: ingabe ukuthuthukisa kufanelekile?

Ngokwezimpawu ezibalwe lapha, i-H100 PCIE inememori ephindwe kabili kune-A100 40 GB, cishe iphindaphindwe ngo-2.6 ku-FP32 (41 uma kuqhathaniswa ne-15.6 TFLOPS) kanye ne-bandwidth eyengeziwe (1760 uma kuqhathaniswa ne-1313 GB/s). Imisebenzi encike kakhulu kumandla okubala noma kwimemori iqeda ngokushesha, okwenza inani eliphakeme ngehora likwazi ukubuyiseka.

I-H100 PCIE iqhathaniseka kanjani ne-H100 SXM?

Zombili zine-80 GB. I-H100 SXM ibalwe ku-53.5 TFLOPS kanye no-2869 GB/s ngaphansi komkhawulo ongu-700 W, ngakho-ke iyashesha; i-H100 PCIE eku-350 W iyindlela esebenzisa amandla kagesi aphansi emisebenzini ehambelana nesivinini sayo.

Yimaphi amasayizi amamodeli angena ku-80 GB?

Cishe amapharamitha angaba ngu-34B ku-16-bit anendawo eyanele yesendlalelo sombhalo (context headroom), noma amamodeli esigaba se-70B e-quantized abe ngu-4 bits. Ngamamodeli e-16-bit 70B, bheka i-140 GB H200 NVL.

Ngingayiqalisa ngokushesha kangakanani i-H100 PCIE ku-Cloudj?

Khetha ithempulethi, khetha i-H100 PCIE ekhona ohlwini olubukhoma bese uqinisekisa intengo; iseva idalwa kusuka kubhalansi ye-akhawunti yakho bese uxhuma nge-SSH noma nge-terminal yesiphequluli.

GPU Cloud · NVIDIA · Hopper

Qasha i-NVIDIA H100 PCIE GPU ene-80 GB VRAM

Qasha ama-GPU e-H100 PCIE ngehora ku-Cloudj: 80 GB VRAM ku-NVIDIA Hopper, cishe ama-41 TFLOPS FP32 kanye ne-bandwidth yememori engu-1760 GB/s yokuqeqesha kanye ne-LLM inference. Kuyindlela yokungena elula ku-Hopper yamaqembu e-AI afuna i-80 GB ekhadini elilodwa kumkhawulo wamandla ongu-350 W. Khetha ithempulethi ye-PyTorch, vLLM noma i-Unsloth, qinisekisa ukumiswa bukhoma kwe-H100 PCIE bese uxhuma nge-SSH.

Qasha i-H100 PCIE Wonke ama-GPU

Imininingwane ye-H100 PCIE

VRAM nge-GPU ngayinye

80 GB

Architecture

NVIDIA Hopper

Compute capability

Ukubala kwe-FP32

≈ 41 TFLOPS

I-bandwidth yememori

≈ 1760 GB/s

Umkhawulo wamandla

350 W

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

Izilungiselelo zamanje nezintengo ze-H100 PCIE

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

Qasha manje

Ongakusebenzisa ku-cloud GPU ye-H100 PCIE

Ukwenza i-fine-tuning kumamodeli e-13B–34B

I-80 GB ihambelana ne-LoRA kumamodeli esigaba se-30B ku-BF16 kanye ne-QLoRA kumamodeli esigaba se-70B usebenzisa i-Unsloth.

Ukusabalalisa amamodeli e-70B e-quantized

Gcina imodeli ye-4-bit 70B usebenzisa i-vLLM noma i-SGLang ku-GPU eyodwa, ukuze ugweme i-multi-GPU sharding ngesikhathi sokwenza izivivinyo zokuqala.

Ukuqeqesha nge-mixed-precision

Qeqesha ama-transformer namamodeli we-diffusion kusukela ekuqaleni noma qhubeka ne-pre-training ku-Hopper enekhono lokubala elingu-9.0 (compute capability 9.0).

Ucwaningo lwamamodeli wevidiyo nezithombe

Qalisa amamodeli amakhulu e-diffusion nawokwenza amavidiyo ku-ComfyUI adinga imemori enkulu ukwedlula noma yiliphi ikhadi elijwayelekile labathengi.

Ingabe i-H100 PCIE iyi-GPU efanele umsebenzi wakho?

Khetha i-H100 PCIE lapho imisebenzi yakho idinga i-80 GB ye-VRAM, i-bandwidth yememori yezinga le-datacenter, nezici ze-Hopper compute capability 9.0. Ukuze uthole i-inference elula noma amamodeli amancane, i-workstation noma i-GPU yabathengi ene-VRAM encane iyonga kakhulu, kanti izidingo eziphezulu kakhulu zokusebenza zingadinga uhlobo lwe-datacenter olususelwa ku-SXM.

H100 PCIE uma iqhathaniswa nama-cloud GPU afanayo

GPU	VRAM nge-GPU ngayinye	Ukubala kwe-FP32	Umkhawulo wamandla
NVIDIA H100 PCIE	80 GB	≈ 41 TFLOPS	350 W
NVIDIA H100 SXM	80 GB	≈ 53.5 TFLOPS	700 W	Imininingwane →
NVIDIA A800 PCIE	80 GB	≈ 15.6 TFLOPS	300 W	Imininingwane →
NVIDIA H100 NVL	94 GB	≈ 48.3 TFLOPS	400 W	Imininingwane →
NVIDIA CMP 170HX	64 GB	≈ 12.1 TFLOPS	250 W	Imininingwane →

I-cloud GPU ye-H100 PCIE: imibuzo evame ukubuzwa

Qasha i-cloud GPU ye-H100 PCIE ngehora

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

Qasha i-H100 PCIE Wonke ama-GPU