Kungani inani le-FP32 le-A100 PCIE liphansi kunamanye amakhadi e-RTX?

Inombolo engu-15.6 TFLOPS ngeye-FP32 evamile. Iningi le-deep learning lisebenza nge-mixed precision ye-BF16 noma i-FP16, kanti i-inference ye-LLM ivamise ukuncika ku-memory bandwidth, lapho i-1313 GB/s ye-A100 PCIE iphambili kakhulu kunamakhadi e-Ampere ajwayelekile.

Imaphi ama-LLM angena ku-40 GB ye-VRAM?

Ngokwejwayelekile, ama-weight e-16-bit athatha cishe i-2 GB ngebhiliyoni yamapharamitha, ngakho amamodeli e-13B ayangena nesikhala esisele se-KV cache. Amamodeli e-30B–34B ayangena uma e-quantizwe aba ngu-4 noma 8 bits. Amamodeli e-70B adinga ikhadi le-80 GB elifana ne-A800 PCIE noma i-H100.

Uyini umehluko phakathi kwe-A100 PCIE ne-A100 SXM4?

Kokubili kubhalwe ngo-40 GB, 15.6 TFLOPS FP32 kanye no-1313 GB/s. Ikhadi le-PCIE lisebenza ngomkhawulo wamandla kagesi ongu-250 W kanti i-SXM4 ku-400 W, okunikeza i-SXM4 amandla angcono okumelana nokushisa ngaphansi komthwalo omkhulu oqhubekayo.

Ngiqala kanjani iseva ye-A100 PCIE ku-Cloudj?

Khetha i-template efana ne-PyTorch, vLLM noma Ollama, khetha i-configuration ye-A100 PCIE ohlwini olubukhoma bese uqinisekisa intengo. Xhuma nge-SSH noma nge-terminal yesiphequluli; ngentengo ebalwa ngehora, iseva emisiwe ikhokhelwa i-disk yayo kuphela.

GPU Cloud · NVIDIA · Ampere

Qasha i-NVIDIA A100 PCIE GPU ene-40 GB VRAM

Renta amaseva e-cloud GPU e-A100 PCIE ngehora ku-Cloudj: 40 GB VRAM, i-architecture ye-Ampere kanye ne-memory bandwidth elinganiselwa ku-1313 GB/s yemisebenzi ye-LLM nokuqeqesha. Lesi yisinyathelo esiwusizo se-datacenter sonjiniyela be-ML amamodeli abo angasangeni kumakhadi e-gaming, eno-15.6 TFLOPS FP32, umkhawulo wamandla kagesi ongu-250 W kanye ne-compute capability 8.0. Qala nge-template ye-PyTorch, vLLM noma Unsloth, khetha i-configuration ebukhoma bese uxhuma nge-SSH.

Qasha i-A100 PCIE Wonke ama-GPU

Imininingwane ye-A100 PCIE

VRAM nge-GPU ngayinye

40 GB

Architecture

NVIDIA Ampere

Compute capability

Ukubala kwe-FP32

≈ 15.6 TFLOPS

I-bandwidth yememori

≈ 1313 GB/s

Umkhawulo wamandla

250 W

Amanani abikwa umhlinzeki wengqalasizinda yemishini ebalwe ohlwini njengamanje; ukusebenza kwangempela kuyehluka ngomshini ngamunye.

Izilungiselelo zamanje nezintengo ze-A100 PCIE

Isitoko esibukhoma nezintengo, kubuyekezwa ngokuqhubekayo. Intengo yokugcina iqinisekiswa ngaphambi kokuba u-ode.

Qasha manje

Ongakusebenzisa ku-cloud GPU ye-A100 PCIE

Sebenzisa amamodeli we-13B–34B nge-vLLM

I-40 GB ithwala imodeli ye-13B nge-16-bit noma imodeli yohlobo lwe-30B e-quantized, kanti i-1313 GB/s igcina ukukhiqizwa kwama-token kushesha ngaphansi kwezicelo eziningi ngesikhathi esisodwa.

Uku-fine-tune nge-LoRA ne-QLoRA

Lungisa kahle (fine-tune) amamodeli olimi e-7B–13B ngemininingwane yakho usebenzisa i-Unsloth noma i-PyTorch evamile nge-BF16, ngaphandle kokunciphisa i-batch size ukuze ingene.

Ukuqeqesha okusebenzisa i-mixed-precision

Qeqesha amamodeli okubona, inkulumo noma amathebula nge-BF16 ekhadini elizinzile le-datacenter esikhundleni sokurenta i-node ephelele ye-multi-GPU.

Ama-embeddings kanye ne-batch inference

Sebenzisa amasethi amakhulu emibhalo kumamodeli we-embedding noma we-classification ubusuku bonke, bese ucisha futhi ususa iseva uma iqoqo seliqedile.

Ingabe i-A100 PCIE iyi-GPU efanele umsebenzi wakho?

Khetha i-A100 PCIE 40 GB lapho imisebenzi yakho yeqa imikhawulo yememori yama-GPU ajwayelekile futhi idinga i-hardware ye-datacenter enomkhawulokudonsa omkhulu. Khetha i-GPU encane yabathengi ukwenza i-inference elula, noma thuthukela kumodeli ye-datacenter ene-VRAM enkulu kakhulu uma amamodeli akho angaka-quantizwa noma ama-batch size edlula i-40 GB.

A100 PCIE uma iqhathaniswa nama-cloud GPU afanayo

GPU	VRAM nge-GPU ngayinye	Ukubala kwe-FP32	Umkhawulo wamandla
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W	Imininingwane →
NVIDIA A40	45 GB	≈ 29.9 TFLOPS	300 W	Imininingwane →
NVIDIA L40S	45 GB	≈ 73.3 TFLOPS	350 W	Imininingwane →
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W	Imininingwane →

I-cloud GPU ye-A100 PCIE: imibuzo evame ukubuzwa

Qasha i-cloud GPU ye-A100 PCIE ngehora

Khetha ithempulethi, khetha izilungiselelo zamanje bese uxhuma nge-SSH noma itheminali yesiphequluli. Ukukhokhisa kuyama uma ususa i-GPU.

Qasha i-A100 PCIE Wonke ama-GPU