A100 SXM4 ko A100 PCIE: wanne ya kamata in zaɓa?

Ƙididdigar ƙwaƙwalwa, FP32 da bandwidth da aka jera duk ɗaya ne: 40 GB, 15.6 TFLOPS da 1313 GB/s. SXM4 yana aiki a 400 W maimakon 250 W, saboda haka zaɓe shi don manyan ayyuka masu buƙatar dorewa, sannan ka zaɓi katin PCIE idan kowanne zai yi maka aiki kuma kana son tayin da ya fi sauƙin kuɗi a yanzu.

Shin 40 GB ya isa don fine-tune samfurin 70B?

Ba zai wadatar cikin sauƙi ba. 40 GB na iya ɗaukar LoRA a kan samfuran 7B–13B da QLoRA a kan samfura matsakaita. Don fine-tuning na samfuran 70B, duba katunan 80 GB ko mafi girma kamar H100 SXM ko H200 NVL.

Shin A100 SXM4 yana goyon bayan BF16?

I. Ampere tare da compute capability 8.0 yana goyon bayan BF16, wanda shine madaidaicin precision da ake amfani da shi a mafi yawan dabarun training da fine-tuning na LLM a yanzu.

Yaya ake lissafin kuɗin sabar A100 SXM4 a Cloudj?

Ana cire kuɗin sabobin sa'a-sa'a a kowace sa'a daga balance na asusunka yayin da suke aiki; sabar da aka dakatar tana biyan kuɗin disk ɗinta kawai. Haka kuma ana ba da zaɓin biyan kuɗi na kowane wata ko fiye da haka, tare da nuna kowane rangwame kafin ka biya.

GPU Cloud · NVIDIA · Ampere

Yi hayar NVIDIA A100 SXM4 GPU mai 40 GB VRAM

Yi hayar GPUs na A100 SXM4 a duk sa'a a Cloudj: 40 GB VRAM a kan NVIDIA Ampere tare da kimanin 1313 GB/s na memory bandwidth da iyakar ƙarfin wuta na 400 W don dorewar ayyukan AI. An kera shi don ƙungiyoyi masu gudanar da dogon aikin training ko serving da ke son juriyar yanayin zafi ta SXM module, yana ba da 15.6 TFLOPS FP32 da compute capability 8.0. Zaɓi tsarin A100 SXM4 kai tsaye, fara daga template na PyTorch ko vLLM, sannan ka haɗa ta SSH.

Yi hayar A100 SXM4 Duk GPUs

Bayanan fasaha na A100 SXM4

VRAM a kowace GPU

40 GB

Ginin fasaha

NVIDIA Ampere

Ikon lissafi (Compute capability)

Lissafin FP32

≈ 15.6 TFLOPS

Gudun ƙwaƙwalwa (Bandwidth)

≈ 1313 GB/s

Ƙayyadaddun wutar lantarki

400 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 A100 SXM4 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 A100 SXM4

Ayyukan training masu ɗaukar dogon lokaci

Ƙarfin wuta na 400 W ya dace sosai da horar da BF16 na sa'o'i da yawa inda clocks dole su tsaya kyam tun daga epoch na farko har zuwa na ƙarshe.

Serving na LLM irin na yanayin aiki (Production)

Ɗauki samfurin 13B a cikin 16-bit ko quantized samfuri mai girman 30B a ƙarƙashin vLLM ko SGLang sannan ka gwada throughput kafin ka ɗauki alkawarin kashe kuɗi a kan infrastructure.

Instruction tuning tare da Unsloth

Gudanar da LoRA ko QLoRA a kan samfuran 7B–13B tare da dogayen jeri (sequences) fiye da abin da katin 24 GB zai iya ɗauka.

Maimaita aikin bincike (Research reproduction)

Sake gudanar da binciken takardun ilimi da aka gwada a kan kayan aikin A100 ta hanyar amfani da tsarin gine-ginen Ampere da girman ƙwaƙwalwa iri ɗaya.

Shin A100 SXM4 ita ce GPU da ta dace da aikinku?

Zaɓi 40 GB A100 SXM4 lokacin da nauyin aikin training ko inference ɗinka ya zarce iyakar ƙwaƙwalwar consumer GPU kuma yana buƙatar datacenter memory bandwidth. Zaɓi datacenter GPU mai VRAM mafi girma idan samfuranka da ba su da unquantized sun wuce 40 GB, ko kuma ka zaɓi ƙaramin katin workstation ko consumer don ayyukan inference masu sauƙi da ci gaban aiki.

A100 SXM4 idan aka kwatanta da sauran cloud GPU

GPU	VRAM a kowace GPU	Lissafin FP32	Ƙayyadaddun wutar lantarki
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Cikakken bayani →
NVIDIA A40	45 GB	≈ 29.9 TFLOPS	300 W	Cikakken bayani →
NVIDIA L40S	45 GB	≈ 73.3 TFLOPS	350 W	Cikakken bayani →
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W	Cikakken bayani →

Cloud GPU na A100 SXM4: tambayoyin da aka fi yi

Yi hayar cloud GPU na A100 SXM4 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 A100 SXM4 Duk GPUs