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Can I run Llama 3 8B (q3_k_m) on NVIDIA H100 SXM?

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Perfect

Yes, you can run this model!

GPU VRAM

80.0GB

Required

3.2GB

Headroom

+76.8GB

VRAM Usage

0GB 4% used 80.0GB

Performance Estimate

Tokens/sec ~108.0

Batch size 32

Context 8192K

info Technical Analysis

NVIDIA H100 SXM provides excellent compatibility with Llama 3 8B (8.00B). With 80.0GB of VRAM and only 3.2GB required, you have 76.8GB of headroom for comfortable inference. This allows for extended context lengths, batch processing, and smooth operation.

lightbulb Recommendation

You can run Llama 3 8B (8.00B) on NVIDIA H100 SXM without any compromises. Consider using full context length and larger batch sizes for optimal throughput.

tune Recommended Settings

Batch_Size

Context_Length

8192

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run Llama 3 8B (8.00B) on NVIDIA H100 SXM? expand_more

NVIDIA H100 SXM has 80.0GB VRAM, which provides 76.8GB of headroom beyond the 3.2GB required by Llama 3 8B (8.00B). This is plenty of room for comfortable inference with room for KV cache, batching, and extended context lengths.

How much VRAM does Llama 3 8B (8.00B) need? expand_more

Llama 3 8B (8.00B) requires approximately 3.2GB of VRAM.

What performance can I expect? expand_more

Estimated 108 tokens per second.