NelsaHost

Hardware AI Models Compatibility Compare

search Login

Can I run Llama 3.1 405B on NVIDIA H100 SXM?

cancel

Fail/OOM

This GPU doesn't have enough VRAM

GPU VRAM

80.0GB

Required

810.0GB

Headroom

-730.0GB

VRAM Usage

0GB 100% used 80.0GB

info Technical Analysis

NVIDIA H100 SXM cannot run Llama 3.1 405B (405.00B) in this configuration. The model requires 810.0GB but only 80.0GB is available, leaving you 730.0GB short.

lightbulb Recommendation

Consider using a more aggressive quantization (Q4_K_M, Q3_K_M) to reduce VRAM requirements, or upgrade to a GPU with more VRAM. Cloud GPU services like RunPod or Vast.ai offer affordable options.

tune Recommended Settings

Batch_Size

None

Context_Length

None

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run Llama 3.1 405B (405.00B) on NVIDIA H100 SXM? expand_more

NVIDIA H100 SXM (80.0GB VRAM) cannot run Llama 3.1 405B (405.00B) which requires 810.0GB. You are 730.0GB short. Consider using a more aggressive quantization (like Q4_K_M or Q3_K_M) or upgrading to a GPU with more VRAM.

How much VRAM does Llama 3.1 405B (405.00B) need? expand_more

Llama 3.1 405B (405.00B) requires approximately 810.0GB of VRAM.

What performance can I expect? expand_more

Estimated None tokens per second.