Kiro GPU-ga NVIDIA A800 PCIE oo wata 80 GB VRAM
Kireyso GPU-yada A800 PCIE saacadle ahaan Cloudj: 80 GB VRAM oo ku dhisan NVIDIA Ampere iyo xawaaraha xusuusta oo gaaraya qiyaastii 1598 GB/s, taasoo u sahlaysa moodellada LLM ee heerka 70B inay ku fariistaan hal kaadh oo keliya. Waxaa loogu talagalay kooxaha AI ee u baahan labanlaabka xusuusta A100 40 GB ee adeeg-bixinta (serving), tababarka gaarka ah (fine-tuning), iyo hawlaha dulucda-dheer, iyadoo wadata 15.6 TFLOPS FP32 iyo xaddiga awoodda oo ah 300 W. Ku billow template-ka vLLM, SGLang ama Unsloth oo si toos ah ugu xiriir SSH.
Faahfaahinta farsamo ee A800 PCIE
VRAM GPU kasta
80 GB
Qaab-dhismeedka
NVIDIA Ampere
Awoodda xisaabinta (Compute capability)
8
Xisaabinta FP32
≈ 15.6 TFLOPS
Xawaaraha xusuusta (Memory bandwidth)
≈ 1598 GB/s
Xadka awoodda korontada
300 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 A800 PCIE
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 A800 PCIE
Moodellada 70B oo ku shaqeynaya hal GPU
U adeegso moodel 70B ah oo 4-bit ah adigoo boos u reebaya KV cache, ama moodel 30B–34B ah oo 16-bit ah, adigoo isticmaalaya vLLM ama SGLang.
Ka-soo-saarka macluumaadka dulucda-dheer
80 GB waxay bannaynaysaa meel loogu talagalay weedho dhaadheer iyo xiriiro isku mar socda oo badan kuwaasoo buux-dhaafin lahaa kaadhka 40 GB.
Habaynta gaarka ah ee moodellada LLM ee dhexdhexaadka ah
Ku socodsii LoRA moodellada 13B–34B ee BF16 ama QLoRA moodellada ka waaweyn adigoo isticmaalaya Unsloth, adigoon u baahnayn inaad u kala qaybiso dhowr GPU.
Sayniska xogta ee u baahan xusuusta ballaaran
Ku hay tensor-nada waaweyn, garaafyada, ama feature matrices gudaha xusuusta GPU-da ee shaqooyinka RAPIDS ama PyTorch.
A800 PCIE ma yahay GPU-ga ku habboon culeyska shaqadaada?
Dooro A800 PCIE marka shuruuddaada koowaad ay tahay 80 GB oo awoodda xusuusta ah oo loogu talagalay moodellada AI ee baaxadda weyn halkii aad ka eegi lahayd xisaabinta aasaasiga ah ee single-precision. Haddii shaqadaadu ku filan tahay cabbir xusuuseed ka yar, workstation leh VRAM yar ama GPU-ga macaamiisha ayaa aad ugu habboon, halka shaqooyinka u baahan awood xisaabineed oo xooggan ay ka faa'iidaysan karaan qaab-dhismeedka xarumaha xogta ee jiilka cusub.
A800 PCIE vs cloud GPU-yada la midka ah
| GPU | VRAM GPU kasta | Xisaabinta FP32 | Xadka awoodda korontada | |
|---|---|---|---|---|
| NVIDIA A800 PCIE | 80 GB | ≈ 15.6 TFLOPS | 300 W | |
| NVIDIA H100 PCIE | 80 GB | ≈ 41 TFLOPS | 350 W | Faahfaahin → |
| NVIDIA H100 SXM | 80 GB | ≈ 53.5 TFLOPS | 700 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 A800 PCIE: su'aalaha inta badan la isweydiiyo
Kireyso cloud GPU-ga A800 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.