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GPU Cloud · NVIDIA · Hopper

Kireyso GPU NVIDIA H100 PCIE oo leh 80 GB VRAM

Kiro GPU-yada H100 PCIE saacaddii Cloudj: 80 GB VRAM oo ku dhex jira NVIDIA Hopper, ku dhawaad 41 TFLOPS FP32 iyo xawaaraha xusuusta oo ah 1760 GB/s ee tababarka iyo LLM inference. Waa barta ugu habboon ee laga galo Hopper kooxaha AI ee doonaya 80 GB oo ku jira hal kaadh oo leh awood koronto oo dhan 350 W. Dooro naqshadda PyTorch, vLLM ama Unsloth, xaqiiji qaabeynta tooska ah ee H100 PCIE, kuna xidhnow SSH.

Faahfaahinta farsamo ee H100 PCIE

VRAM GPU kasta

80 GB

Qaab-dhismeedka

NVIDIA Hopper

Awoodda xisaabinta (Compute capability)

9

Xisaabinta FP32

≈ 41 TFLOPS

Xawaaraha xusuusta (Memory bandwidth)

≈ 1760 GB/s

Xadka awoodda korontada

350 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 PCIE

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 PCIE

Fine-tuning-ka moodallada 13B–34B

80 GB waxay qaaddaa LoRA oo lagu shaqaysiiyo moodallada heerka 30B ee BF16 iyo QLoRA ee moodallada heerka 70B iyadoo la adeegsanayo Unsloth.

Shaqaysiinta moodallada quantized 70B

Ku martigeli moodalka 4-bit 70B vLLM ama SGLang hal GPU gudaheed, si aad uga fogaato qaybinta multi-GPU xilliga tijaabada hordhaca ah.

Tababarka mixed-precision

Ka tababar moodallada transformers iyo diffusion eber ama sii wad pre-training-ka Hopper oo wata compute capability 9.0.

Cilmi-baarista moodallada muuqaalka iyo sawirka

Ka shaqaysii ComfyUI moodallada waaweyn ee diffusion iyo soo-saarista muuqaalka kuwaas oo u baahan xusuus ka badan kaadh kasta oo heerka macaamiisha ah.

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

Dooro H100 PCIE marka culaysyada shaqadaadu u baahan yihiin 80 GB oo VRAM ah, xawaaraha xusuusta ee heerka datacenter, iyo astaamaha Hopper compute capability 9.0. Inference-ka fudud ama moodallada yaryar, workstation ama GPU-yada macaamiisha ee leh VRAM kayar ayaa dhaqaale ahaan ka jaban, halka baahiyaha xawaaraha aadka u sarreeya ay u baahan karaan nooca datacenter-ka ee ku salaysan SXM.

H100 PCIE vs cloud GPU-yada la midka ah

GPUVRAM GPU kastaXisaabinta FP32Xadka awoodda korontada
NVIDIA H100 PCIE80 GB≈ 41 TFLOPS350 W
NVIDIA H100 SXM80 GB≈ 53.5 TFLOPS700 WFaahfaahin →
NVIDIA A800 PCIE80 GB≈ 15.6 TFLOPS300 WFaahfaahin →
NVIDIA H100 NVL94 GB≈ 48.3 TFLOPS400 WFaahfaahin →
NVIDIA CMP 170HX64 GB≈ 12.1 TFLOPS250 WFaahfaahin →

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

Kireyso cloud GPU-ga H100 PCIE saacaddii

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