Kiro GPU-ga NVIDIA A100 SXM4 oo wata 40 GB VRAM
Kiro GPU-yada A100 SXM4 saacadle ahaan gudaha Cloudj: 40 GB VRAM oo ku shaqeeya NVIDIA Ampere oo leh xawaaraha xusuusta qiyaastii 1313 GB/s iyo awood dhan 400 W oo loogu talagalay shaqooyinka AI ee joogtada ah. Waxaa loo dhisay kooxaha fuliya shaqooyinka tababarka ama adeeg bixinta (serving) ee muddada dheer qaata una baahan dulqaadka kulaylka ee cutubka SXM, wuxuuna bixiyaa 15.6 TFLOPS FP32 iyo compute capability 8.0. Dooro qaabeynta tooska ah ee A100 SXM4, kaga bilow qaabka PyTorch ama vLLM, kuna xirnow SSH.
Faahfaahinta farsamo ee A100 SXM4
VRAM GPU kasta
40 GB
Qaab-dhismeedka
NVIDIA Ampere
Awoodda xisaabinta (Compute capability)
8
Xisaabinta FP32
≈ 15.6 TFLOPS
Xawaaraha xusuusta (Memory bandwidth)
≈ 1313 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 A100 SXM4
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 A100 SXM4
Shaqooyinka tababarka ee waqtiga dheer qaata
Xadka awoodda ee 400 W wuxuu ku habboon yahay tababarka BF16 ee saacadaha badan soconaya, halkaas oo xawaaraha saacaddu (clocks) uu degganaado laga bilaabo epoch-ga koowaad ilaa kan ugu dambeeya.
Adeeg bixinta LLM ee heerka wax-soo-saarka
Ku martigeli moodeelka 13B oo ah 16-bit ama moodeelka heerka 30B ee quantized ah vLLM ama SGLang dhexdiisa, iskuna day xaddiga shaqo-fulinta (throughput) ka hor inta aadan go'aansan kaabayaasha.
Hagaajinta dardaaranka (instruction tuning) ee Unsloth
Ku wad LoRA ama QLoRA moodellada 7B–13B adigoo isticmaalaya xigxigyo ka dheer inta uu oggol yahay kaadhka 24 GB.
Dib-u-soo-saarista cilmi-baarista
Dib u soo saar cilmi-baarisyo lagu cabbiray qalabka heerka A100 adigoo isticmaalaya isla qaab-dhismeedka Ampere iyo cabbirka xusuusta.
A100 SXM4 ma yahay GPU-ga ku habboon culeyska shaqadaada?
Dooro 40 GB A100 SXM4 marka shaqooyinkaaga tababarka ama odoroska (inference) ay ka bataan xaddidaadaha xusuusta ee GPU-yada caadiga ah ayna u baahan yihiin xawaaraha xusuusta ee datacenter-ka. Dooro GPU xarun xogeed leh VRAM ka sarreeya haddii moodelladaada aan la soo koobin (unquantized) ay ka badan yihiin 40 GB, ama dooro kaadhka shaqada ama kan caadiga ah ee ka yar shaqooyinka fudud ee odoroska iyo horumarinta.
A100 SXM4 vs cloud GPU-yada la midka ah
| GPU | VRAM GPU kasta | Xisaabinta FP32 | Xadka awoodda korontada | |
|---|---|---|---|---|
| NVIDIA A100 SXM4 | 40 GB | ≈ 15.6 TFLOPS | 400 W | |
| NVIDIA A100 PCIE | 40 GB | ≈ 15.6 TFLOPS | 250 W | Faahfaahin → |
| NVIDIA A40 | 45 GB | ≈ 29.9 TFLOPS | 300 W | Faahfaahin → |
| NVIDIA L40S | 45 GB | ≈ 73.3 TFLOPS | 350 W | Faahfaahin → |
| NVIDIA Tesla P40 | 24 GB | ≈ 9.4 TFLOPS | 250 W | Faahfaahin → |
Cloud GPU-ga A100 SXM4: su'aalaha inta badan la isweydiiyo
Kireyso cloud GPU-ga A100 SXM4 saacaddii
Dooro template, xulo qaabeyn toos ah, kuna xirnow SSH ama terminal-ka browser-ka. Lacag-bixintu waxay joogsanaysaa marka aad tirtirto GPU-ga.