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GPU Cloud · NVIDIA · Ampere

Kodesha NVIDIA A100 SXM4 GPU ifite 40 GB VRAM

Kodesha ama GPU ya A100 SXM4 ku isaha kuri Cloudj: 40 GB VRAM kuri NVIDIA Ampere ifite memory bandwidth igera kuri 1313 GB/s hamwe n'ubushobozi bw'ingufu bwa 400 W buhoraho ku mirimo ikomeye ya AI. Yakorewe amakipe akora imirimo miremire yo gutoza no gutanga serivisi akeneye ubwirinzi buhagije bw'ubushyuhe bwa mudule ya SXM, itanga 15.6 TFLOPS FP32 na compute capability 8.0. Hitamo imiterere ya A100 SXM4 ihari ako kanya, tangirira ku nyandikorugero ya PyTorch cyangwa vLLM maze wihuze ukoresheje SSH.

Ibiranga A100 SXM4

VRAM kuri buri GPU

40 GB

Ubwubatsi

NVIDIA Ampere

Ubushobozi bwo kubara

8

Imibare ya FP32

≈ 15.6 TFLOPS

Umuvuduko w'ububiko (Bandwidth)

≈ 1313 GB/s

Ingufu ntarengwa

400 W

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

Imiterere n'ibiciro bya A100 SXM4 bihari ako kanya

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

Kodesha ubu

Ibyo ushobora gukorera kuri A100 SXM4 cloud GPU

Imirimo yo gutoza ifata igihe kirekire

Urugero rw'ingufu rwa 400 W rubereye imyitozo ya BF16 y'amasaha menshi aho imikorere ya clocks igomba kuguma ku murongo umwe uhereye ku cyiciro cya mbere kugeza ku cya nyuma.

Gutanga serivisi za LLM ku rwego rw'umusaruro

Akira model ya 13B muri 16-bit cyangwa model ya quantized yo mu cyiciro cya 30B inyuma ya vLLM cyangwa SGLang, maze upime umuvuduko mbere yo gushora imari mu bikorwaremezo.

Gutunganya amabwiriza ukoresheje Unsloth

Koresha LoRA cyangwa QLoRA ku ma model ya 7B–13B afite imirongo miremire y'inyandiko kurusha ibyo ikarita ya 24 GB yakwihanganira.

Gusubiramo ubushakashatsi

Subiramo inyandiko z'ubushakashatsi zapimiwe ku bikoresho byo mu cyiciro cya A100 ukoresheje imiterere imwe ya Ampere n'ingano y'ububiko bwa memory ingana.

Ese A100 SXM4 niyo GPU ikwiriye imirimo yawe?

Hitamo 40 GB A100 SXM4 mu gihe imirimo yawe yo gutoza cyangwa inference irenze ubushobozi bwa GPU zisanzwe z'abakoresha kandi ikaba ikeneye memory bandwidth yo ku rwego rwa datacenter. Hitamo GPU ya datacenter ifite VRAM nini kurushaho niba ama model yawe adafite quantization arengeje 40 GB, cyangwa uhitemo ikarita ntoya ya workstation cyangwa consumer ku mirimo yoroshye ya inference no gutunganya porogaramu.

A100 SXM4 ugereranyije n'izindi cloud GPU zisa nayo

GPUVRAM kuri buri GPUImibare ya FP32Ingufu ntarengwa
NVIDIA A100 SXM440 GB≈ 15.6 TFLOPS400 W
NVIDIA A100 PCIE40 GB≈ 15.6 TFLOPS250 WIbisobanuro →
NVIDIA A4045 GB≈ 29.9 TFLOPS300 WIbisobanuro →
NVIDIA L40S45 GB≈ 73.3 TFLOPS350 WIbisobanuro →
NVIDIA Tesla P4024 GB≈ 9.4 TFLOPS250 WIbisobanuro →

A100 SXM4 cloud GPU: Ibibazo bikunze kubazwa

Kodesha A100 SXM4 cloud GPU ku isaha

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