Shin A40 ta fi dacewa da rendering ne ko kuma LLMs?

Ta fi karkata zuwa ga rendering da samar da hotuna: 29.9 TFLOPS FP32 ya kusan ninka na A100 sau biyu, yayin da ƙarfin bandwidth ɗinta na 536 GB/s ya fi ƙasa. Don aikin decoding na LLM mai dogaro da saurin bandwidth a babban ma'auni, A100 ko H100 tana samar da tokens cikin sauri fiye da ita.

Menene zai iya shiga cikin 45 GB na VRAM?

Cikakken tsarin ComfyUI tare da Flux, SDXL da nodes na bidiyo, manyan fage na Blender ko OctaneRender, ko kuma samfurin harshe na 30B–34B da aka yi wa quantized tare da babban context window.

Yaya kwatankwacin A40 yake idan aka haɗa da L40S?

Dukansu suna ɗauke da 45 GB. L40S na kan tsarin Ada Lovelace ne tare da kimanin 73.3 TFLOPS FP32 da 626 GB/s, don haka ita ce zaɓi mafi sauri; ita kuma A40 zaɓin Ampere ne lokacin da take akwai kuma aikin ya dace da ita.

Ta yaya zan haɗa da sabar A40 a Cloudj?

Ta hanyar SSH tare da maɓallinku ko ta hanyar browser terminal a cikin console. Haka kuma samfuran Desktop da na VM suna ba ku damar shiga ta hanyar fuskar zane (graphical access).

GPU Cloud · NVIDIA · Ampere

Yi hayar NVIDIA A40 GPU mai 45 GB VRAM

Yi hayar sabar cloud GPU ta A40 a kowace sa'a a Cloudj: 45 GB VRAM, tsarin gine-ginen Ampere da kimanin 29.9 TFLOPS FP32 don rendering, samar da hotuna da AI inference. A40 ta dace da ƙwararrun 3D da masu haɓaka AI waɗanda ke buƙatar babban frame buffer fiye da ƙarfin memory bandwidth kaɗai (536 GB/s, 300 W). Zaɓi samfurin ComfyUI, PyTorch ko Ollama, ɗauki tsarin A40 mai aiki kai tsaye kuma ka haɗa ta SSH ko browser terminal.

Yi hayar A40 Duk GPUs

Bayanan fasaha na A40

VRAM a kowace GPU

45 GB

Ginin fasaha

NVIDIA Ampere

Ikon lissafi (Compute capability)

8.6

Lissafin FP32

≈ 29.9 TFLOPS

Gudun ƙwaƙwalwa (Bandwidth)

≈ 536 GB/s

Ƙayyadaddun wutar lantarki

300 W

Ƙimomin da mai samar da kayan aiki ya bayar don na'urorin da aka jera a yanzu; ainihin aikin ya bambanta dangane da na'ura.

Tsare-tsare da farashin A40 na yanzu

Kayan da ke akwai da farashin kai tsaye, ana sabunta su akai-akai. Ana tabbatar da farashin ƙarshe kafin ka yi oda.

Yi haya yanzu

Abubuwan da za ka iya gudanarwa a kan cloud GPU na A40

GPU rendering na manyan fage

45 GB na VRAM yana riƙe zane-zane masu nauyi da launuka masu inganci (high-resolution textures) a cikin GPU, sannan 29.9 TFLOPS FP32 yana sarrafa CUDA path tracers.

Samar da ayyukan rukuni na Flux da SDXL

Gudanar da tsarin ComfyUI tare da Flux ko SDXL da kuma ControlNet tare da upscalers da aka loda a lokaci guda, ba tare da musanya samfura a ciki da waje ba.

Samfuran LLM masu darajar 30B da aka yi wa quantized

Loda samfurin 4-bit ko 8-bit na 30B–34B a cikin Ollama ko vLLM don tattaunawa ta sirri, masu taimakawa (agents) ko gwajin aiki.

Ayyukan desktop a cikin browser

Yi amfani da samfurin Ubuntu desktop don duba bayanai da zane-zane ta hanyar GPU-accelerated lokacin da SSH kaɗai bai isa ba.

Shin A40 ita ce GPU da ta dace da aikinku?

Zaɓi A40 lokacin da aikinka ke buƙatar 45 GB na VRAM a kan tsarin datacenter Ampere, wanda ya zarce ƙarfin ƙwaƙwalwar na'urorin yau da kullum. Zaɓi ƙaramin katin na'ura idan samfuranka za su wadatu da ƙarancin ƙwaƙwalwa, ko kuma ka koma kan datacenter GPU mai bandwidth mafi girma idan saurin ƙwaƙwalwa (memory throughput) yana takaita ayyukan horaswarka.

A40 idan aka kwatanta da sauran cloud GPU

GPU	VRAM a kowace GPU	Lissafin FP32	Ƙayyadaddun wutar lantarki
NVIDIA A40	45 GB	≈ 29.9 TFLOPS	300 W
NVIDIA L40S	45 GB	≈ 73.3 TFLOPS	350 W	Cikakken bayani →
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Cikakken bayani →
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W	Cikakken bayani →
NVIDIA CMP 170HX	64 GB	≈ 12.1 TFLOPS	250 W	Cikakken bayani →

Cloud GPU na A40: tambayoyin da aka fi yi

Yi hayar cloud GPU na A40 a kowace sa'a

Zaɓi samfuri, zaɓi tsari na kai tsaye, sannan ka haɗa ta SSH ko terminal na browser. Caji na tsayawa da zarar ka goge GPU ɗin.

Yi hayar A40 Duk GPUs