Shin sabbin frameworks za su yi aiki a kan GTX TITAN X?

Sau da yawa ba sa aiki kai tsaye ba tare da gyara ba. Compute capability 5.2 ba a cika saita shi a sabbin manhajojin CUDA da PyTorch na yanzu ba. Templates na Cloudj suna nuna mafi karancin nau'in CUDA da ake bukata kuma suna bada GPU masu dacewa kawai, don haka duba template din kafin ka yi oda.

Mene ne amfanin GTX TITAN X a yau?

Tsohuwar lamba (legacy code), lissafin FP32 da gwajin dacewar ma'ajiya a kan 12 GB. Don sabbin ayyukan AI, RTX 3060 (12 GB, Ampere, 12 TFLOPS) tana gudanar da sabbin software tare da Tensor Cores da BF16.

GTX TITAN X da Titan Xp wanne ya fi?

Dukansu suna da 12 GB. Pascal Titan Xp an lissafa ta da kusan 11.7 TFLOPS da 410 GB/s, idan aka kwatanta da 6.8 TFLOPS da 239 GB/s a kan Maxwell TITAN X.

Ta yaya zan rage kudi a kan Cloudj?

Yi hayar a kan kowane awa, tsaida sabar tsakanin lokutan aiki don faifan diski kawai a caje ka, sannan ka goge ta gaba daya idan ka gama.

GPU Cloud · NVIDIA · Maxwell

Yi Hayar GPU ta NVIDIA GTX TITAN X Mai 12 GB VRAM

Yi hayar sabar cloud GPU ta GTX TITAN X a kowane awa a kan Cloudj: 12 GB VRAM a kan NVIDIA Maxwell tare da kusan 6.8 TFLOPS FP32 da bandwidth na 239 GB/s. Wannan ita ce katin mafi dadewa a jerinmu, mai amfani don tsohon lambar CUDA, gwaje-gwajen FP32 da gwajin ma'ajiya na 12 GB inda ba a bukatar sabbin fasahohi ba (150 W, karfin sarrafawa na compute capability 5.2). Fara duba dacewar template da farko, sannan ka haxa ta hanyar SSH.

Yi hayar GTX TITAN X Duk GPUs

Bayanan fasaha na GTX TITAN X

VRAM a kowace GPU

12 GB

Ginin fasaha

NVIDIA Maxwell

Ikon lissafi (Compute capability)

5.2

Lissafin FP32

≈ 6.8 TFLOPS

Gudun ƙwaƙwalwa (Bandwidth)

≈ 239 GB/s

Ƙayyadaddun wutar lantarki

150 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 GTX TITAN X 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 GTX TITAN X

Tsohuwar manhajar CUDA da lambar bincike

Gudanar da tsofaffin rumbun code da aka gina don Maxwell ko tsofaffin kayan aikin CUDA ba tare da sauya su da farko ba.

Gwaje-gwajen ma'ajiya na 12 GB

Gwada ko dataset ko model zai shiga cikin 12 GB kafin ka koma kan katin da ya fi sauri.

Samfuran 7B da aka rage girmansu (Quantized)

Gudanar da samfuran 7B GGUF a 4-bit a cikin kayan aikin llama.cpp inda tsarin yake goyon bayan Maxwell.

Ayyukan lissafi na FP32

Ayyukan simulation da rubutun lissafi masu yawa wadanda ke bukatar FP32 kawai.

Shin GTX TITAN X ita ce GPU da ta dace da aikinku?

Zabi GTX TITAN X lokacin da kake bukatar 12 GB VRAM don aikin kirkira, dacewa da tsofaffin software, ko saukin gudanar da inference ba tare da biyan kudin sabbin architectures ba. Zabi GPU mafi kankanta idan aikinka na amfani da karancin ma'ajiya, ko kuma ka sauya zuwa sabon GPU mafi girma idan kana bukatar sabbin fasahohin sarrafa bayanai da bandwidth mai yawa na ma'ajiya don manyan ayyukan horaswa (training).

GTX TITAN X idan aka kwatanta da sauran cloud GPU

GPU	VRAM a kowace GPU	Lissafin FP32	Ƙayyadaddun wutar lantarki
NVIDIA GTX TITAN X	12 GB	≈ 6.8 TFLOPS	150 W
NVIDIA Titan Xp	12 GB	≈ 11.7 TFLOPS	160 W	Cikakken bayani →
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Cikakken bayani →
NVIDIA RTX 2080 Ti	11 GB	≈ 14.6 TFLOPS	250 W	Cikakken bayani →
NVIDIA GTX 1070 Ti	8 GB	≈ 7.4 TFLOPS	180 W	Cikakken bayani →

Cloud GPU na GTX TITAN X: tambayoyin da aka fi yi

Yi hayar cloud GPU na GTX TITAN X 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 GTX TITAN X Duk GPUs