Shin Q RTX 8000 yana da sauri don horar da AI (AI training)?

Kati ne da aka fi mayar da hankali kan ƙwaƙwalwa. Tare da 11.9 TFLOPS FP32 kuma ba tare da goyon bayan BF16 a Turing ba, horarwa ta fi tafiyar hawainiya idan aka kwatanta da katinan Ampere ko Ada. Zaɓe shi idan 45 GB ya fi maka muhimmanci fiye da sauri, ko kuma ka zaɓi RTX A6000 ko RTX 6000Ada.

Q RTX 8000 vs RTX A6000?

Dukansu suna ba da babban ƙwaƙwalwa: an jera 45 GB don Q RTX 8000 da kuma 48 GB don RTX A6000. A6000 tsarin Ampere ne tare da kusan 36.1 TFLOPS FP32 da 651 GB/s, don haka yana da sauri kusan sau uku a FP32.

Waɗanne LLMs ne ke shiga cikin Q RTX 8000?

Samfuran 4-bit har zuwa kusan 34B parameters tare da isasshen context, ko samfuran 13B a 8-bit. 70B a 4-bit yana kan iyaka kuma yana barin ɗan ƙaramin wuri don context.

Ta yaya zan shiga uwar garken Q RTX 8000 a kan Cloudj?

Ta hanyar SSH, terminal na browser, ko template na Ubuntu desktop a cikin browser idan kana buƙatar zama mai nuni da zane (graphical session).

GPU Cloud · NVIDIA · Turing

Hayi GPU na NVIDIA Q RTX 8000 mai 45 GB VRAM

Yi hayar uwar garken cloud GPU ta Q RTX 8000 a kowace sa'a a kan Cloudj: 45 GB VRAM a kan NVIDIA Turing tare da kusan 11.9 TFLOPS FP32 da 434 GB/s na memory bandwidth. Katin workstation ne mai babban ƙwaƙwalwa don masu zane da masu bincike waɗanda bayanan su, fage ko quantized models ba sa shiga 24 GB, a kan ƙarfin wuta na 250 W. Zaɓi template na ComfyUI, Ollama ko na desktop sannan ka haɗa ta SSH ko browser.

Yi hayar Q RTX 8000 Duk GPUs

Bayanan fasaha na Q RTX 8000

VRAM a kowace GPU

45 GB

Ginin fasaha

NVIDIA Turing

Ikon lissafi (Compute capability)

7.5

Lissafin FP32

≈ 11.9 TFLOPS

Gudun ƙwaƙwalwa (Bandwidth)

≈ 434 GB/s

Ƙayyadaddun wutar lantarki

250 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 Q RTX 8000 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 Q RTX 8000

Manyan fage na rendering

45 GB na ajiye manyan fage, textures da simulation caches a cikin GPU maimakon komawa ga CPU.

Quantized 30B-class LLMs

Loda samfurin 4-bit 30B–34B a cikin Ollama tare da isasshen wuri don dogon context window.

Aikin hotuna masu inganci sosai (high-resolution)

Gudanar da SDXL a babban resolution tare da ControlNets masu yawa a ComfyUI ba tare da ƙarancin ƙwaƙwalwar ajiya ba.

Gwajin bayanai masu buƙatar babban ƙwaƙwalwa

Ajiye manyan point clouds, volumes ko embeddings a cikin ƙwaƙwalwar GPU don bincike.

Shin Q RTX 8000 ita ce GPU da ta dace da aikinku?

Zaɓi Q RTX 8000 idan babban abin da kake buƙata shi ne ƙarfin VRAM kuma kana son 45 GB a kati ɗaya ba tare da biyan kuɗin gudun datacenter na zamani ba. Idan aikinka yana buƙatar sauri fiye da kusan 11.9 TFLOPS da bandwidth na 434 GB/s, haura zuwa sabon tsari (architecture), ko zaɓi ƙaramin consumer GPU idan samfuranka za su shiga ƙaramin ƙwaƙwalwa.

Q RTX 8000 idan aka kwatanta da sauran cloud GPU

GPU	VRAM a kowace GPU	Lissafin FP32	Ƙayyadaddun wutar lantarki
NVIDIA Q RTX 8000	45 GB	≈ 11.9 TFLOPS	250 W
NVIDIA RTX A6000	48 GB	≈ 36.1 TFLOPS	300 W	Cikakken bayani →
NVIDIA RTX PRO 5000	48 GB	≈ 69.6 TFLOPS	300 W	Cikakken bayani →
NVIDIA RTX 6000Ada	48 GB	≈ 81.4 TFLOPS	300 W	Cikakken bayani →
NVIDIA RTX 4500Ada	24 GB	≈ 38.2 TFLOPS	210 W	Cikakken bayani →

Cloud GPU na Q RTX 8000: tambayoyin da aka fi yi

Yi hayar cloud GPU na Q RTX 8000 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 Q RTX 8000 Duk GPUs