Kireyso GPU NVIDIA L4 oo leh 22 GB VRAM
Kiro server-yada L4 cloud GPU saacad kasta Cloudj: 22 GB VRAM, qaab-dhismeedka Ada Lovelace iyo ku dhawaad 24.2 TFLOPS FP32 oo leh xaddiga korontada oo ah kaliya 72 W. Waxay ku habboon tahay horumariyeyaasha maamula inference hufan, qoraal-ka-dhigista codka (transcription), embeddings iyo dhuumaha habaynta muuqaallada (video pipelines) ee doonaya xusuus ka badan kaadhka 8–16 GB iyaga oo aan bixin lacagta noocyada ugu qaalisan. Ka bilow qaabka diyaarsan (template) ee PyTorch, vLLM ama Ollama oo kaga xidhnow SSH.
Faahfaahinta farsamo ee L4
VRAM GPU kasta
22 GB
Qaab-dhismeedka
NVIDIA Ada Lovelace
Awoodda xisaabinta (Compute capability)
8.9
Xisaabinta FP32
≈ 24.2 TFLOPS
Xawaaraha xusuusta (Memory bandwidth)
≈ 221 GB/s
Xadka awoodda korontada
72 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 L4
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 L4
7B–8B LLMs oo 16-bit ah
22 GB waxay qaadi kartaa nooca 8B oo 16-bit ah ama qaab quantized ah oo 13B–14B ah oo loogu talagalay chatbots, wakiillada AI (agents) iyo APIs gudaha ah.
Hadalka-oo-qoraal-laga-dhigo iyo embeddings
Daar qoraal-ka-dhigista nooca Whisper ah, dib-u-habeeyayaasha (rerankers) iyo moodallada embedding saacad kasta adigoo isticmaalaya kaadh koronto yar cuna.
Soo saarista sawirrada ee SDXL
ComfyUI oo ay weheliyaan SDXL iyo Flux oo ah qaabka FP8 ama GGUF waxay si fudud ugu fariisanayaan 22 GB.
Barta inference-ka ee had iyo jeer shaqaynaysa
Xaddiga awoodda korontada ee 72 W ayaa ka dhigaya L4 kaadh macquul ah adeegyada yaryar ee u baahan inay had iyo jeer shaqeeyaan halkii ay si degdeg ah oo goos-goos ah u kici lahaayeen.
L4 ma yahay GPU-ga ku habboon culeyska shaqadaada?
Dooro L4 marka aad u baahan tahay 22 GB oo VRAM ah iyo awoodda xisaabinta Ada Lovelace compute capability 8.9 ee inference ama culaysyada tababarka dhexdhexaadka ah. U wareeg GPU-yada xarumaha xogta (datacenter) ee ka waaweyn haddii moodalladaadu ka bataan 22 GB ama ay u baahan yihiin wax ka sarreeya qiyaastii 221 GB/s oo baaxadda xusuusta ah (memory bandwidth), ama dooro kaadh ka yar howlaha aasaasiga ah ee horumarinta ee u baahan xusuus ka yar.
L4 vs cloud GPU-yada la midka ah
| GPU | VRAM GPU kasta | Xisaabinta FP32 | Xadka awoodda korontada | |
|---|---|---|---|---|
| NVIDIA L4 | 22 GB | ≈ 24.2 TFLOPS | 72 W | |
| NVIDIA Tesla P40 | 24 GB | ≈ 9.4 TFLOPS | 250 W | Faahfaahin → |
| NVIDIA Tesla V100 | 16 GB | ≈ 12.5 TFLOPS | 300 W | Faahfaahin → |
| NVIDIA A100 PCIE | 40 GB | ≈ 15.6 TFLOPS | 250 W | Faahfaahin → |
| NVIDIA A100 SXM4 | 40 GB | ≈ 15.6 TFLOPS | 400 W | Faahfaahin → |
Cloud GPU-ga L4: su'aalaha inta badan la isweydiiyo
Kireyso cloud GPU-ga L4 saacaddii
Dooro template, xulo qaabeyn toos ah, kuna xirnow SSH ama terminal-ka browser-ka. Lacag-bixintu waxay joogsanaysaa marka aad tirtirto GPU-ga.