Can I Run Llama 3.2 Family on NVIDIA A100 80GB?

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年8月15日

Yes, comfortably — you'll have ~26.4 GB of headroom running Llama 3.2 90B Vision Instruct at Q4_K_M (53.613 GB, ~21 tok/s (est.)) with room for up to 32K context.

Buy This HardwareNVIDIA A100 80GB PCIe — 80 GB VRAM · 300 W board power Deploy in the Cloud NowNVIDIA A100 80GB on RunPod — from $1.39/hr · rate checked 2026-07

or compare on Vast.ai from $0.77/hr (typical low · varies)

As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。

NVIDIA A100 80GB PCIe

80 GB VRAM · 300 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

NVIDIA A100 80GB Specs

VRAM	80 GB
Memory Bandwidth	1935 GB/s

Llama 3.2 90B Vision Instruct on the NVIDIA A100 80GB: VRAM by quantization

Quant	VRAM needed	Fits 80 GB?	Max context
F16	180.1 GB	✗ No	—
Q8_0	96.8 GB	✗ No	—
Q6_K	75.3 GB	✓ Yes	8K
Q5_K_M	65.4 GB	✓ Yes	32K
Q4_K_M	56.1 GB	✓ Yes	32K
Q3_K_M	40.3 GB	✓ Yes	64K
Q2_K	31.7 GB	✓ Yes	64K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Llama 3.2 Family Sizes That Fit the NVIDIA A100 80GB

Llama 3.2 90B Vision Instruct	Q4_K_M · 53.613 GB · ~21 tok/s (est.)
Llama 3.2 11B Vision Instruct	Q4_K_M · 6.39975 GB · ~123 tok/s (est.)
Llama 3.2 3B Instruct	Q4_K_M · 1.9380375 GB · ~236 tok/s (est.)
Llama 3.2 1B Instruct	Q4_K_M · 0.74865 GB · ~336 tok/s (est.)

Buy vs. rent Llama 3.2 Family

Buy the GPU

~$15,000

NVIDIA A100 80GB · MSRP

Rent by the hour

from $0.77/hr

A100 (80 GB) class

At 2 hrs/day, buying (~$15,000) beats renting at $0.77/hr after about 27.1 years.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

Vast.ai $0.77/hr · typical low · varies

Rent on Vast.ai →

RunPod $1.39/hr

Rent on RunPod →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Llama 3.2 Family on the NVIDIA A100 80GB — does it fit?

Yes, comfortably — you'll have ~26.4 GB of headroom running Llama 3.2 90B Vision Instruct at Q4_K_M (53.613 GB, ~21 tok/s (est.)) with room for up to 32K context.

Which Llama 3.2 Family variant fits best on the NVIDIA A100 80GB?

Llama 3.2 90B Vision Instruct at Q4_K_M quantization (53.613 GB), estimated ~21 tokens/sec, up to 32K context.

Every Llama 3.2 Family size on the NVIDIA A100 80GB

Size	VRAM	Verdict	Speed
Llama 3.2 90B Vision Instruct	53.6 GB	Runs	~21 tok/s
Llama 3.2 11B Vision Instruct	6.4 GB	Runs	~123 tok/s
Llama 3.2 3B Instruct	1.9 GB	Runs	~236 tok/s
Llama 3.2 1B Instruct	0.7 GB	Runs	~336 tok/s

Llama 3.2 Family on Other GPUs

Popular Models on the NVIDIA A100 80GB

VRAM Tier

Best LLMs for 80 GB VRAM

Troubleshooting

Which GGUF quant should I download? (Q4 vs Q5 vs Q8)

Buying Guide

Best GPU Buyer Guide 2026

← Can I Run It? | Llama 3.2 Family Model Page | NVIDIA A100 80GB GPU Page | Check Your Hardware