Ese Tesla P40 ni nziza mu gutoza za modeli z'iki gihe?

Oya cyane. Pascal ntabwo ifite Tensor Cores cyangwa ubufasha bwa BF16, kandi ubushobozi bwayo bwa FP16 buri hasi cyane, bityo imyitozo ya mixed-precision iratinda. Yikoresheze muri quantized inference cyangwa imirimo ya FP32; ku bijyanye no gutoza, ikarita ya RTX 3090 cyangwa indi nshya niyo ikwiriye cyane.

Ni izihe LLM zikora neza kuri 24 GB?

Za modeli za 4-bit GGUF zigeza kuri parameter hafi 30B, na modeli za 7B–14B kuri 8-bit, binyuze muri Ollama cyangwa llama.cpp. Witege umuvuduko uringaniye: 257 GB/s igabanya umubare wa tokens ku isegonda.

Ese verisiyo z'ubu za PyTorch na vLLM zizakora kuri Tesla P40?

Biterwa na build. P40 ifite compute capability 6.1 kandi zimwe muri build za vuba za CUDA na framework ntizikigenewe GPU zishaje. Template za Cloudj zigaragaza verisiyo ntoya ya CUDA isabwa kandi zitanga gusa GPU zihuye nazo.

Tesla P40 vs RTX 3090: itandukaniro n'amahitamo ni ayahe?

Zombi zifite 24 GB. RTX 3090 igaragazwa kuri 35.4 TFLOPS na 805 GB/s hamwe na Tensor Cores z'iki gihe, bityo yihuta cyane kurushaho. P40 ni amahitamo y'ikarita ishaje igihe 24 GB ariyo ifite akamaro kurusha umuvuduko.

GPU Cloud · NVIDIA · Pascal

Kodesha GPU ya NVIDIA Tesla P40 ifite 24 GB VRAM

Kodesha seriveri za cloud GPU za Tesla P40 ku isaha kuri Cloudj: 24 GB VRAM kuri NVIDIA Pascal ifite hafi 9.4 TFLOPS FP32 n'umuvuduko w'ububiko (memory bandwidth) wa 257 GB/s. Ni uburyo buhendutse bwo kubona ububiko bwa 24 GB bwo gukoresha muri quantized LLM inference, imishinga yo kwimenyereza n'akazi gasanzwe ka CUDA, ku mbaraga z'amashanyarazi za 250 W. Reba ibyo template isaba kuri CUDA, tangirira kuri image ya Ollama cyangwa PyTorch maze wihuze ukoresheje SSH.

Kodesha Tesla P40 GPU zose

Ibiranga Tesla P40

VRAM kuri buri GPU

24 GB

Ubwubatsi

NVIDIA Pascal

Ubushobozi bwo kubara

6.1

Imibare ya FP32

≈ 9.4 TFLOPS

Umuvuduko w'ububiko (Bandwidth)

≈ 257 GB/s

Ingufu ntarengwa

250 W

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

Imiterere n'ibiciro bya Tesla P40 bihari ako kanya

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

Kodesha ubu

Ibyo ushobora gukorera kuri Tesla P40 cloud GPU

Quantized LLMs hamwe na Ollama

24 GB ikwirwamo za modeli za GGUF zigeza hafi kuri parameter 30B muri 4-bit, ari nacyo kintu kiza cyane P40 ikoreshwa muri iki gihe.

Ibiganiro by'ibanga na prototypes za RAG

Koresha Ollama hamwe na Open WebUI kugira ngo ubone umufasha wihariye ku nyandiko zawe nta kohereza amakuru kuri API.

Imirimo isanzwe ya FP32

Koresha kodi za kera za CUDA, simulation no gutoza kwa FP32 bidasaba Tensor Cores.

Kwiga n'imirimo y'amasomo

Isuzume imenyereze seriveri za GPU, drivers na CUDA ku bubiko bwa 24 GB ku bushakashatsi n'igerageza bito.

Ese Tesla P40 niyo GPU ikwiriye imirimo yawe?

Hitamo Tesla P40 niba icyo ukeneye cyane ari 24 GB ya VRAM ku mirimo ya inference ikenera ububiko bunini cyangwa iterambere aho imbaraga za Pascal zishaje zihagije. Hitamo GPU nshya cyangwa nini kurushaho niba ukeneye memory bandwidth yo hejuru cyangwa uburyo bwa kijyambere bwa tensor acceleration ku gutoza kuremereye, cyangwa GPU ntoya niba imirimo yawe ikoresha ububiko buke.

Tesla P40 ugereranyije n'izindi cloud GPU zisa nayo

GPU	VRAM kuri buri GPU	Imibare ya FP32	Ingufu ntarengwa
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W
NVIDIA L4	22 GB	≈ 24.2 TFLOPS	72 W	Ibisobanuro →
NVIDIA Tesla V100	16 GB	≈ 12.5 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 →

Tesla P40 cloud GPU: Ibibazo bikunze kubazwa

Kodesha Tesla P40 cloud GPU ku isaha

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

Kodesha Tesla P40 GPU zose