Ese A800 PCIE ishobora gukoresha moderi ya 70B?

Yego, binyuze muri quantization. Uburemere bw'ibipimo bya 70B bufata hafi 35–40 GB muri 4-bit, bityo birakwira muri 80 GB hasaguka n'umwanya w'inyongera wo gucunga context. Gukoresha 70B muri 16-bit bikenera hafi 140 GB, ibyo bisaba kwerekeza kuri H200 NVL.

A800 PCIE itandukaniye he na A100 PCIE?

Zose ziri mu gisekuru kimwe cya Ampere zikanagira 15.6 TFLOPS FP32, ariko A800 PCIE igaragara ifite 80 GB aho kuba 40 GB na 1598 GB/s aho kuba 1313 GB/s, bityo yakira moderi nini kandi igatanga serivisi byihuse gato.

Ese nakwiriye guhitamo A800 PCIE cyangwa H100 PCIE?

Zombi zifite 80 GB. H100 PCIE ishingiye kuri Hopper yongeraho 41 TFLOPS FP32 na 1760 GB/s, bityo irihuta cyane ku isaha y'akazi; A800 PCIE yo ifite igisobanuro iyo igiciro cy'ako kanya kiri hasi kandi umuvuduko wa Ampere uhagije.

Ni izihe template zikora kuri A800 PCIE?

Template za PyTorch, vLLM, SGLang, Ollama, Unsloth na ComfyUI zigaragaza verisiyo ntoya ya CUDA na VRAM zikenera; console ya Cloudj iguha gusa template zishobora gukora kuri iyo GPU.

GPU Cloud · NVIDIA · Ampere

Kodesha NVIDIA A800 PCIE GPU ifite 80 GB VRAM

Kodesha GPU za A800 PCIE ku isaha kuri Cloudj: VRAM ya 80 GB kuri NVIDIA Ampere ifite umuvuduko wa memori (memory bandwidth) ungana na 1598 GB/s, bituma moderi za LLM zo mu cyiciro cya 70B zikwira ku ikarita imwe. Igenewe amakipe akora ibya AI akeneye memori yikubye kabiri iya A100 40 GB mu gutanga serivisi (serving), gukora fine-tuning n'imirimo ikenera context ndende, ifite 15.6 TFLOPS FP32 ndetse n'ingufu z'amashanyarazi zingana na 300 W. Tangirira kuri template ya vLLM, SGLang cyangwa Unsloth maze wihuze ukoresheje SSH.

Kodesha A800 PCIE GPU zose

Ibiranga A800 PCIE

VRAM kuri buri GPU

80 GB

Ubwubatsi

NVIDIA Ampere

Ubushobozi bwo kubara

Imibare ya FP32

≈ 15.6 TFLOPS

Umuvuduko w'ububiko (Bandwidth)

≈ 1598 GB/s

Ingufu ntarengwa

300 W

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

Imiterere n'ibiciro bya A800 PCIE bihari ako kanya

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

Kodesha ubu

Ibyo ushobora gukorera kuri A800 PCIE cloud GPU

Moderi za 70B kuri GPU imwe rukumbi

Tanga serivisi kuri moderi ya 70B ya 4-bit hasigare n'umwanya w'ububiko bwa KV cache, cyangwa moderi ya 30B–34B muri 16-bit, ukoresheje vLLM cyangwa SGLang.

Inference ifite context ndende

80 GB isiga umwanya uhagije wa prompts ndende ndetse n'intonde nyinshi zikora icyarimwe (concurrent sequences) zashoboraga kurenga ubushobozi bw'ikarita ya 40 GB.

Gukora fine-tuning ku ma LLM yo mu rugero rwiciriritse

Koresha LoRA kuri moderi za 13B–34B muri BF16 cyangwa QLoRA kuri moderi nini ukoresheje Unsloth, nta kugabanya cyangwa gukwirakwiza (sharding) kuri GPU nyinshi.

Data science ikenera memori nyinshi

Bika amatensori manini, ibishushanyo mbonera (graphs) cyangwa feature matrices muri memori ya GPU mu mirimo ikoresha RAPIDS cyangwa PyTorch.

Ese A800 PCIE niyo GPU ikwiriye imirimo yawe?

Hitamo A800 PCIE niba icyo ukeneye cyane ari ubushobozi bwa memori ya 80 GB yo gukoresha moderi nini za AI aho kuba compute ya single-precision gusa. Niba akazi kawe gakwira muri memori ntoya, workstation ifite VRAM nke cyangwa consumer GPU irakwiriye kurushaho, mu gihe imirimo ikenera ingufu nyinshi za compute yakungukira mu miterere y'ikoranabuhanga rishya rya datacenter.

A800 PCIE ugereranyije n'izindi cloud GPU zisa nayo

GPU	VRAM kuri buri GPU	Imibare ya FP32	Ingufu ntarengwa
NVIDIA A800 PCIE	80 GB	≈ 15.6 TFLOPS	300 W
NVIDIA H100 PCIE	80 GB	≈ 41 TFLOPS	350 W	Ibisobanuro →
NVIDIA H100 SXM	80 GB	≈ 53.5 TFLOPS	700 W	Ibisobanuro →
NVIDIA H100 NVL	94 GB	≈ 48.3 TFLOPS	400 W	Ibisobanuro →
NVIDIA CMP 170HX	64 GB	≈ 12.1 TFLOPS	250 W	Ibisobanuro →

A800 PCIE cloud GPU: Ibibazo bikunze kubazwa

Kodesha A800 PCIE cloud GPU ku isaha

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

Kodesha A800 PCIE GPU zose