Maxaa loo doortaa H100 SXM halkii laga dooran lahaa H100 PCIE?

H100 SXM waxaa lagu qeexay 53.5 TFLOPS FP32 iyo 2869 GB/s marka la barbar dhigo 41 TFLOPS iyo 1760 GB/s ee kaarka PCIE, iyadoo xaddiga awooddu yahay 700 W halkii uu ka ahaan lahaa 350 W. Shaqo kasta marka loo eego, badiyaa si degdeg ah ayuu ku dhammeeyaa.

H100 SXM mise H200 NVL ayaa u wanaagsan LLM-yada?

H200 NVL waxay leedahay 140 GB iyo 3884 GB/s, sidaas darteed iyadaa ku guuleysata moodallada aadka u waaweyn iyo qoraallada dhaadheer. H100 SXM waxay leedahay xisaabin FP32 oo badan (53.5 vs 48.3 TFLOPS) waxayna ku habboon tahay howlaha tababarka ee ku filan 80 GB.

Ma ku hagaajin karaa (fine-tune) moodal 70B hal H100 SXM dushiis?

Iyadoo la adeegsanayo QLoRA, haa: miisaanka 4-bit 70B wuxuu qaadanayaa qiyaastii 35–40 GB, isagoo meel u bannaynaya adapters, activations iyo xaaladda optimizer-ka. Hagaajinta buuxda (full fine-tuning) ee 16-bit ee 70B waxay u baahan tahay GPU-yo badan.

Maxaan bixinayaa marka server-ka H100 SXM la joojiyo Cloudj?

Biilka saacaddii lagu xisaabiyo, server-ka la joojiyay waxaa laga qaadaa lacagta disk-ga oo keliya. Tirtir server-ka marka aad koobiyaysato checkpoints-kaaga, lacag-bixintana gebi ahaanba waad joojinaysaa.

GPU Cloud · NVIDIA · Hopper

Kireyso GPU NVIDIA H100 SXM oo leh 80 GB VRAM

Kiro server-yada cloud GPU ee H100 SXM saacad kasta Cloudj: 80 GB VRAM, NVIDIA Hopper, ku dhowaad 53.5 TFLOPS FP32 iyo 2869 GB/s oo bandwidth memory ah. Xaddiga awoodda oo ah 700 W awgeed, kani waa H100-ka kooxaha tababara, hagaajiya (fine-tune) oo adeegsada moodallo waaweyn, doonayana module-ka Hopper ee ugu dheereeya xagga xisaabinta (compute). Ku bilow qaab-dhismeedka PyTorch, vLLM ama Unsloth oo ku xidhnow SSH tallaabooyin kooban gudahood.

Kireyso H100 SXM Dhammaan GPU-yada

Faahfaahinta farsamo ee H100 SXM

VRAM GPU kasta

80 GB

Qaab-dhismeedka

NVIDIA Hopper

Awoodda xisaabinta (Compute capability)

Xisaabinta FP32

≈ 53.5 TFLOPS

Xawaaraha xusuusta (Memory bandwidth)

≈ 2869 GB/s

Xadka awoodda korontada

700 W

Qiyamka ay soo sheegeen bixiyaha kaabayaasha ee mashiinnada hadda liiska ku jira; waxqabadka dhabta ahi wuu ku kala duwanaan karaa mashiin kasta.

Habaynta tooska ah iyo qiimaha H100 SXM

Kaydka iyo qiimaha tooska ah, oo si joogto ah loo cusbooneysiiyo. Qiimaha ugu dambeeya waxaa la xaqiijiyaa ka hor intaadan dalban.

Kireyso hadda

Waxa aad ku dhex wadi karto cloud GPU-ga H100 SXM

Tababarka xisaabinta culus (compute-heavy)

53.5 TFLOPS FP32 iyo xaddiga awoodda oo ah 700 W waxay siinayaan H100 SXM xisaabinta (compute) ugu badan ee kaarka Hopper kasta ee halkan ku taxan.

Soosaarista degdegga ah ee LLM (inference)

Bandwidth-ka 2869 GB/s wuxuu dedejiyaa soo saarista token-nada ee moodallada 13B–34B ee 16-bit ama moodallada 70B ee la qiyaasay (quantized).

Hagaajinta buuxda (full fine-tuning) ee moodallada 7B–13B

80 GB waxay meel u bannaysaa hagaajinta buuxda ee xuduudaha (full-parameter fine-tuning) ee LLM-yada yaryar, ee ma aha oo kaliya adapters, haddii la adeegsado habaynta saxda ah ee optimizer-ka.

Tababarka moodallada diffusion iyo video-ga

Tababar ama hagaaji moodallada sawirka iyo video-ga halkaas oo memory-ga iyo xisaabintuba (compute) go'aamiyaan muddada ay howshu qaadanayso.

H100 SXM ma yahay GPU-ga ku habboon culeyska shaqadaada?

Dooro H100 SXM marka howlahaaga tababarka ama soosaarista (inference) ay u baahan yihiin 80 GB oo memory datacenter xawaare sare leh ah iyo astaamaha qaab-dhismeedka Hopper. Workstation yar ama GPU-da macaamiisha ayaa ah xulasho wax ku ool ah oo loogu talagalay horumarinta fudud ama moodallada yaryar, halka GPU datacenter oo ka cusub ama ka awood badan la doorbidayo haddii hal instance uusan ku qaadi karin dhammaan moodalkaaga 80 GB oo VRAM ah.

H100 SXM vs cloud GPU-yada la midka ah

GPU	VRAM GPU kasta	Xisaabinta FP32	Xadka awoodda korontada
NVIDIA H100 SXM	80 GB	≈ 53.5 TFLOPS	700 W
NVIDIA H100 PCIE	80 GB	≈ 41 TFLOPS	350 W	Faahfaahin →
NVIDIA A800 PCIE	80 GB	≈ 15.6 TFLOPS	300 W	Faahfaahin →
NVIDIA H100 NVL	94 GB	≈ 48.3 TFLOPS	400 W	Faahfaahin →
NVIDIA CMP 170HX	64 GB	≈ 12.1 TFLOPS	250 W	Faahfaahin →

Cloud GPU-ga H100 SXM: su'aalaha inta badan la isweydiiyo

Kireyso cloud GPU-ga H100 SXM saacaddii

Dooro template, xulo qaabeyn toos ah, kuna xirnow SSH ama terminal-ka browser-ka. Lacag-bixintu waxay joogsanaysaa marka aad tirtirto GPU-ga.

Kireyso H100 SXM Dhammaan GPU-yada