Question 1

How much VRAM does Llama-3.1-405B-Instruct need?

Accepted Answer

Llama-3.1-405B-Instruct (405.9B) requires approximately 907.1530151367188 GB of VRAM at full precision (FP16), 453.6 GB at 8-bit quantization (Q8), and 226.8 GB at 4-bit quantization (Q4). The actual VRAM usage may be slightly higher due to KV cache and runtime overhead.

Question 2

What GPUs can run Llama-3.1-405B-Instruct?

Accepted Answer

We currently have no compatible GPUs indexed for Llama-3.1-405B-Instruct. This may be because the model's VRAM requirements exceed available GPUs in our database, or VRAM data hasn't been computed yet.

Question 3

What is the cheapest GPU to run Llama-3.1-405B-Instruct?

Accepted Answer

We don't currently have cloud pricing data for GPUs compatible with Llama-3.1-405B-Instruct. Cloud pricing data is updated regularly — check back soon.

Question 4

Can Llama-3.1-405B-Instruct run on consumer hardware?

Accepted Answer

Llama-3.1-405B-Instruct requires approximately 907.1530151367188 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 226.8 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so Llama-3.1-405B-Instruct requires datacenter or cloud GPUs.

Question 5

What quantization options are available for Llama-3.1-405B-Instruct?

Accepted Answer

Llama-3.1-405B-Instruct supports the following quantization levels: FP16 (full precision): ~907.1530151367188 GB, Q8 (8-bit): ~453.6 GB, Q6 (6-bit): ~340.2 GB, Q4 (4-bit): ~226.8 GB. Lower quantization reduces VRAM usage at the cost of some quality loss. Q8 offers a good balance between quality and memory savings, while Q4 provides maximum compression.

Llama-3.1-405B-Instruct

VRAM Requirements

Compatible GPUs

Llama-3.1-405B-Instruct FAQ

VRAM requirements for Llama-3.1-405B-Instruct at different quantization levels
Quantization	VRAM Required
FP16	907.2 GB
Q8	453.6 GB
Q6	340.2 GB
Q4	226.8 GB