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Llama 3.1 405B

Llama 3.1 405B works with 2 GPUs via CPU offloading. Precise VRAM thresholds and benchmarks below.

0 Compatible GPUs
2 with offloading
405B params
131K context
Javier Morales
Javier Morales AI Hardware Specialist — 8 years experience
GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER
CONTEXT 131K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Meta
LICENSE llama-3.1-community
VRAM REQUIREMENT
230 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision

This model requires a Flagship GPU (48 GB+ VRAM)

Minimum

M4 Ultra

Runs at Q4 — functional, some wait

128 GB VRAM offload
View compatible setup
Balanced

M3 Ultra

Best value for daily use

192 GB VRAM offload
View compatible setup
Optimal

M3 Ultra

Full quality, fastest inference

192 GB VRAM offload
View compatible setup

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 230 GB High-end GPU
System RAM 345 GB 64 GB or more
Storage 230 GB Q4 · SSD recommended
CPU Any modern CPU GPU required

VRAM by Quantization

Quantization VRAM needed Disk space Quality
FP16 (max quality) 810 GB 810 GB Maximum
Q8 (high quality) 405 GB 405 GB Near-lossless
Q4 (recommended) Best balance 230 GB 230 GB Recommended
Q2 (minimum) 115 GB 115 GB Quality loss

Model Details

Developer Meta
Parameters 405B
Context window 131,072 tokens
License llama-3.1-community
Use cases chat, coding, reasoning, analysis, research
Released 2024-07

Install with Ollama

ollama run llama3.1:405b

Hugging Face

meta-llama/Llama-3.1-405B-Instruct
View on HF →
Technical Requirements

Can your GPU run Llama 3.1 405B?

Llama 3.1 405B needs 230 GB VRAM at Q4 — no consumer GPU fits fully. 2 GPUs work with CPU offloading at Q2 (115 GB).

115GB Critical min
230GB Optimal Q4
405GB High Quality Q8
810GB Max FP16

Hardware Performance Matrix

0 Q4 native · 2 offload · 38 unsupported

GPU Unit VRAM Compatibility Est. Speed Action
M4 Ultra 128GB Offload 45 tok/s Calculate →
M3 Ultra 192GB Offload 38 tok/s Calculate →
RTX 5090 32GB N/A Calculate →
RTX 4090 24GB N/A Calculate →
RTX 5080 16GB N/A Calculate →
RTX 4080 Super 16GB N/A Calculate →
RTX 5070 Ti 16GB N/A Calculate →
RTX 3090 24GB N/A Calculate →
M4 Max 48GB 48GB N/A 20 tok/s Calculate →
RX 7900 XTX 24GB N/A Calculate →
M4 Max 36GB 36GB N/A Calculate →
RTX 4070 Ti Super 16GB N/A Calculate →
RTX 3080 Ti 12GB N/A Calculate →
RX 7900 XT 20GB N/A Calculate →
RTX 5070 12GB N/A Calculate →
RTX 3080 10GB N/A Calculate →
M4 Pro 24GB N/A Calculate →
RX 7800 XT 16GB N/A Calculate →
RX 6800 XT 16GB N/A Calculate →
RTX 4070 12GB N/A Calculate →
RTX 4060 Ti 16GB 16GB N/A Calculate →
RX 7700 XT 12GB N/A Calculate →
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RTX 4060 Ti 8GB N/A Calculate →
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RTX 3060 12GB N/A Calculate →
M2 Pro 16GB N/A Calculate →
RTX 4060 8GB N/A Calculate →
Arc A770 16GB 16GB N/A Calculate →
M1 Pro 16GB N/A Calculate →
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Arc A750 8GB 8GB N/A Calculate →
RX 6600 8GB N/A Calculate →
RTX 3050 8GB 8GB N/A Calculate →
GTX 1660 Super 6GB N/A Calculate →

Recommended GPUs for Llama 3.1 405B

Benchmarks Reales
Sin Reviews Pagadas
Seleccion Editorial
Basado en Datos

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

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Llama 3.1 405B — Compatibility guide

Llama 3.1 405B with 405B parameters only runs fully in multi-GPU or server configurations. Consider distilled versions if available. The VRAM calculator can help you find compatible alternatives.

Compatible Hardware

GPUs that run Llama 3.1 405B at Q4 — sorted by AI performance score.

Benchmarks Reales
Sin Reviews Pagadas
Basado en Datos

No consumer GPUs have enough VRAM for this model.

Consider distilled versions or Q2 quantization.

Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.

More Practical Alternatives

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Not sure which GPU you need for Llama 3.1 405B?

The VRAM Calculator tells you exactly which quantization your hardware can handle.