Kireyso GPU NVIDIA H100 NVL oo leh 94 GB VRAM
Kirooso saacaddii server-yada cloud GPU ee H100 NVL gudaha Cloudj: 94 GB VRAM, NVIDIA Hopper iyo xawaaraha xusuusta oo gaaraya ilaa 3381 GB/s ee loogu talagalay soo saarista moodellada waaweyn (large-model inference). Waxaa loo dhisay kooxaha LLM ee u baahan xusuus ka badan tan 80 GB H100 iyo furfurid aad uga dheereysa (decoding), waxay bixisaa 48.3 TFLOPS FP32 iyadoo ku shaqeyneysa xadka awoodda 400 W. Bilow template vLLM ama SGLang ah, dooro qaabeynta tooska ah ee H100 NVL oo kaga xirnow SSH.
Faahfaahinta farsamo ee H100 NVL
VRAM GPU kasta
94 GB
Qaab-dhismeedka
NVIDIA Hopper
Awoodda xisaabinta (Compute capability)
9
Xisaabinta FP32
≈ 48.3 TFLOPS
Xawaaraha xusuusta (Memory bandwidth)
≈ 3381 GB/s
Xadka awoodda korontada
400 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 NVL
Kaydka iyo qiimaha tooska ah, oo si joogto ah loo cusbooneysiiyo. Qiimaha ugu dambeeya waxaa la xaqiijiyaa ka hor intaadan dalban.
Kireyso haddaWaxa aad ku dhex wadi karto cloud GPU-ga H100 NVL
Bixinta LLM-yada xawaarahoodu sarreeyo
3381 GB/s ee bandwidth-ka ah wuxuu kordhiyaa xawaaraha soo saarista token-yada, 94 GB-na waxay hal GPU ku haysaa moodel 70B oo la quantized gareeyay iyo KV cache ballaaran.
Dhuumaha macnaha dheer (long-context) iyo RAG
14 GB ee dheeraadka ah marka lala barbar dhigo kaarka 80 GB waxay si toos ah u aadeysaa dhererka macnaha qoraalka (context length) iyo codsiyada isku mar socda.
Hufidda (fine-tuning) moodellada 30B–70B
Ku wad LoRA moodellada fasalka 30B ee BF16 ama QLoRA moodellada fasalka 70B adoo adeegsanaya Unsloth oo ku shaqeynaya hal Hopper GPU.
Qiimeynta moodellada ee baaxadda ballaaran
Si degdeg ah ugu wad baaritaannada benchmark-ka iyo qiimeynta A/B ee dhammaan checkpoints-ka, ka dibna tirtir server-ka marka natiijooyinka la helo.
H100 NVL ma yahay GPU-ga ku habboon culeyska shaqadaada?
Dooro H100 NVL marka culeysyadaada shaqo ee AI ama xisaabinta ay u baahan yihiin xusuus ka badan inta ay bixiyaan kaadhadhka caadiga ah ee xarumaha xogta (datacenters), ilaa 94 GB oo VRAM ah. GPU yar oo workstation ah ama midka macaamiisha ayaa doorasho fiican u ah horumarinta iyo inference-ka fudud, halka nidaamka multi-GPU ama heer xusuuseed weyn ay lagama maarmaan yihiin haddii moodelladaadu ay ka badan yihiin 94 GB.
H100 NVL vs cloud GPU-yada la midka ah
| GPU | VRAM GPU kasta | Xisaabinta FP32 | Xadka awoodda korontada | |
|---|---|---|---|---|
| NVIDIA H100 NVL | 94 GB | ≈ 48.3 TFLOPS | 400 W | |
| NVIDIA H100 SXM | 80 GB | ≈ 53.5 TFLOPS | 700 W | Faahfaahin → |
| NVIDIA H100 PCIE | 80 GB | ≈ 41 TFLOPS | 350 W | Faahfaahin → |
| NVIDIA A800 PCIE | 80 GB | ≈ 15.6 TFLOPS | 300 W | Faahfaahin → |
| NVIDIA CMP 170HX | 64 GB | ≈ 12.1 TFLOPS | 250 W | Faahfaahin → |
Cloud GPU-ga H100 NVL: su'aalaha inta badan la isweydiiyo
Kireyso cloud GPU-ga H100 NVL saacaddii
Dooro template, xulo qaabeyn toos ah, kuna xirnow SSH ama terminal-ka browser-ka. Lacag-bixintu waxay joogsanaysaa marka aad tirtirto GPU-ga.