L40S vs A100: ni iyihe nziza ku mirimo nshaka gukora?

L40S igaragazwa ko ifite FP32 nyinshi (73.3 ugereranyije na 15.6 TFLOPS) na VRAM nyinshi (45 ugereranyije na 40 GB), bityo ikaba indashyikirwa mu gukora amashusho no muri rendering. A100 ifite bandwidth nini (1313 ugereranyije na 626 GB/s), ibyo bikaba bifasha gutanga serivisi za LLM ku bakoresha benshi icyarimwe (high-concurrency).

Ese L40S ishobora gukoresha modeli ya 70B?

Bishoboka gusa ukoresheje quantization ikaze, kandi bizaba bikanyaraye. 70B kuri 4-bit ifata hafi 35–40 GB, igasiga umwanya muto cyane wa context. Kugira ngo ukore neza kuri 70B wisanzuye, koresha ikarita ya 80 GB cyangwa nini kurushaho.

L40S igereranywa ite na RTX 4090?

Ni igisekuru kimwe cya Ada Lovelace. RTX 4090 ifite FP32 irenzeho gato (81.4 TFLOPS) na bandwidth (879 GB/s), ariko L40S yikubye hafi kabiri mu bubiko, 45 GB ugereranyije na 24 GB, ibyo bikaba bifite akamaro kanini kuri modeli n'amashusho (scenes) binini.

Ni izihe template nshobora gukoresha kuri L40S muri Cloudj?

PyTorch, vLLM, SGLang, Ollama hamwe na Open WebUI, Unsloth na ComfyUI, wongeyeho desktop ya Ubuntu muri mushakisha (browser). Buri template igaragaza ibyo isaba kuri CUDA na VRAM.

GPU Cloud · NVIDIA · Ada Lovelace

Kodesha GPU ya NVIDIA L40S ifite 45 GB VRAM

Kodesha seriveri za GPU cloud zo mu bwoko bwa L40S ku isaha kuri Cloudj: 45 GB VRAM, Ada Lovelace hamwe na 73.3 TFLOPS FP32 ku bwa AI igena ibintu (generative AI), rendering no gukoresha LLM (inference). Ni amahitamo akomeye ku bahanzi n'amakipe ya AI bakeneye ububiko bunini bwa frame buffer ifite imbaraga nyinshi zo kubara, ku muriro ntarengwa wa 350 W na bandwidth ya 626 GB/s. Hitamo template ya ComfyUI, vLLM cyangwa PyTorch, hitamo L40S ikora maze wihuze ukoresheje SSH.

Kodesha L40S GPU zose

Ibiranga L40S

VRAM kuri buri GPU

45 GB

Ubwubatsi

NVIDIA Ada Lovelace

Ubushobozi bwo kubara

8.9

Imibare ya FP32

≈ 73.3 TFLOPS

Umuvuduko w'ububiko (Bandwidth)

≈ 626 GB/s

Ingufu ntarengwa

350 W

Imibare yatanzwe n'uwatanze seriveri ku mashini ziriho ubu; imikorere nyakuri iratandukana bitewe na mashini.

Imiterere n'ibiciro bya L40S bihari ako kanya

Ibihari n'ibiciro bihora bivugururwa. Igiciro cya nyuma cyemezwa mbere yo gutumiza.

Kodesha ubu

Ibyo ushobora gukorera kuri L40S cloud GPU

Flux no gukora videwo

Koresha Flux mu bushyikirane bwuzuye (full precision) hamwe n'inzira zikomeye zo gukora videwo muri ComfyUI ifite umwanya uhagije wa LoRAs, ControlNet na upscalers.

Modeli za LLM za 30B–34B zagabanyijwe (quantized)

45 GB yakira modeli yo mu cyiciro cya 30B ya 4-bit cyangwa 8-bit ifite umwanya wisanzuye w'imiterere (context) yo kuganira (chat), ba ejenti (agents) cyangwa RAG.

Rendering yo mu bwoko bwa path-traced kuri GPU

73.3 TFLOPS FP32 yongera umuvuduko wa renderers za CUDA, naho 45 GB igatuma imiterere minini n'ibiranga ishusho (textures) biguma mu bubiko.

Gutunganya no gutoza (fine-tuning) modeli za diffusion

Toza LoRAs cyangwa utunganye ku buryo bwa DreamBooth kuri SDXL na Flux utiriwe ugabanya ubwiza bw'ishusho (resolution) ngo bikwiremo.

Ese L40S niyo GPU ikwiriye imirimo yawe?

Hitamo L40S mu gihe imirimo yawe isaba 45 GB ya VRAM no kwizerwa kw'ikigo cy'amakuru (datacenter), birenze amakarita asanzwe y'abaguzi. Niba modeli zawe zikwira mu bubiko buto, GPU nto ya workstation cyangwa iy'abaguzi irazigama kurushaho, mu gihe modeli nini z'urufatiro zidafite quantization zisaba GPU yo muri datacenter ifite ububiko bunini.

L40S ugereranyije n'izindi cloud GPU zisa nayo

GPU	VRAM kuri buri GPU	Imibare ya FP32	Ingufu ntarengwa
NVIDIA L40S	45 GB	≈ 73.3 TFLOPS	350 W
NVIDIA A40	45 GB	≈ 29.9 TFLOPS	300 W	Ibisobanuro →
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Ibisobanuro →
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W	Ibisobanuro →
NVIDIA CMP 170HX	64 GB	≈ 12.1 TFLOPS	250 W	Ibisobanuro →

L40S cloud GPU: Ibibazo bikunze kubazwa

Kodesha L40S cloud GPU ku isaha

Hitamo template, hitamo imiterere ihari maze wihuze ukoresheje SSH cyangwa terminal ya browser. Kwishyuza bihagarara iyo usibye iyo GPU.

Kodesha L40S GPU zose