Shin Tesla P40 tana da kyau don horar da samfuran zamani?

Ba sosai ba. Pascal ba ta da Tensor Cores kuma ba ta da tallafin BF16, sannan saurin FP16 ɗinta yana da ƙanƙanta sosai, don haka horarwar mixed-precision na tafiyar hawainiya. Yi amfani da ita don quantized inference ko ayyukan FP32; don horarwa, katin RTX 3090 ko wanda ya fi sabonta ya fi dacewa.

Waɗanne LLMs ne ke aiki sosai a kan 24 GB?

Samfuran GGUF na 4-bit har zuwa kusan 30B parameters, da samfuran 7B–14B a 8-bit, ta hanyar Ollama ko llama.cpp. Yi tsammanin matsakaicin gudu: 257 GB/s yana iyakance tokens a duk daƙiƙa.

Shin nau'ikan PyTorch da vLLM na yanzu za su yi aiki a kan Tesla P40?

Ya dogara da nau'in ginawar (build). P40 tana da compute capability 6.1 kuma wasu sabbin ginannun CUDA da na'urorin aiki ba sa tallafawa tsofaffin GPUs. Templates na Cloudj suna lissafa mafi ƙarancin sigar CUDA da ake buƙata kuma suna ba da GPUs masu dacewa kawai.

Tesla P40 vs RTX 3090: menene bambancin zaɓi?

Dukansu suna da 24 GB. An jera RTX 3090 a 35.4 TFLOPS da 805 GB/s tare da sabbin Tensor Cores, don haka tana da sauri sosai. P40 ita ce tsohon zaɓi lokacin da 24 GB ta fi muhimmanci fiye da gudu.

GPU Cloud · NVIDIA · Pascal

Yi hayar NVIDIA Tesla P40 GPU mai 24 GB VRAM

Yi hayar sabar cloud GPU ta Tesla P40 a duk sa'a a Cloudj: 24 GB VRAM a kan NVIDIA Pascal tare da kimanin 9.4 TFLOPS FP32 da bandwidth na ƙwaƙwalwa 257 GB/s. Hanya ce mai sauƙi da araha don samun ƙwaƙwalwar 24 GB domin quantized LLM inference, ayyukan sha'awa da tsofaffin ayyukan CUDA, a kan iyakar ƙarfin wuta 250 W. Bincika abubuwan da template ke buƙata na CUDA, fara da hoton Ollama ko PyTorch sannan ka haɗa ta SSH.

Yi hayar Tesla P40 Duk GPUs

Bayanan fasaha na Tesla P40

VRAM a kowace GPU

24 GB

Ginin fasaha

NVIDIA Pascal

Ikon lissafi (Compute capability)

6.1

Lissafin FP32

≈ 9.4 TFLOPS

Gudun ƙwaƙwalwa (Bandwidth)

≈ 257 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 Tesla P40 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 Tesla P40

Quantized LLMs tare da Ollama

24 GB na ɗaukar samfuran GGUF har zuwa kusan 30B parameters a 4-bit, wanda shine mafi kyawun amfanin P40 a yau.

Tattaunawa ta sirri da samfuran gwaji na RAG

Yi amfani da Ollama tare da Open WebUI don samun mataimaki na sirri a kan takardunku ba tare da tura bayanai zuwa API ba.

Tsofaffin ayyukan FP32

Gudanar da tsofaffin lambobin CUDA, simulations da horarwar FP32 waɗanda ba sa dogara ga Tensor Cores.

Koyo da ayyukan kwas

Koyi aiki a aikace da sabar GPU, drivers da CUDA a kan ƙwaƙwalwar 24 GB don ƙananan gwaje-gwaje.

Shin Tesla P40 ita ce GPU da ta dace da aikinku?

Zaɓi Tesla P40 idan babban abin da kake buƙata shine 24 GB na VRAM don inference mai cin ƙwaƙwalwa ko ayyukan haɓakawa inda tsohuwar fasahar Pascal ta isa. Zaɓi GPU mafi sabonta ko mafi girma idan kana buƙatar ƙarin bandwidth na ƙwaƙwalwa ko fasahar tensor ta zamani don horarwa mai nauyi, ko ƙaramar GPU idan aikinka ba ya amfani da ƙwaƙwalwa mai yawa.

Tesla P40 idan aka kwatanta da sauran cloud GPU

GPU	VRAM a kowace GPU	Lissafin FP32	Ƙayyadaddun wutar lantarki
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W
NVIDIA L4	22 GB	≈ 24.2 TFLOPS	72 W	Cikakken bayani →
NVIDIA Tesla V100	16 GB	≈ 12.5 TFLOPS	300 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 →

Cloud GPU na Tesla P40: tambayoyin da aka fi yi

Yi hayar cloud GPU na Tesla P40 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 Tesla P40 Duk GPUs