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Can I run SD 2.1 on NVIDIA H100 PCIe?

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Perfect

Yes, you can run this model!

GPU VRAM

80.0GB

Required

5.0GB

Headroom

+75.0GB

VRAM Usage

0GB 6% used 80.0GB

Performance Estimate

Tokens/sec ~117.0

Batch size 32

info Technical Analysis

NVIDIA H100 PCIe provides excellent compatibility with SD 2.1. With 80.0GB of VRAM and only 5.0GB required, you have 75.0GB of headroom for comfortable inference. This allows for extended context lengths, batch processing, and smooth operation.

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You can run SD 2.1 on NVIDIA H100 PCIe without any compromises. Consider using full context length and larger batch sizes for optimal throughput.

tune Recommended Settings

Batch_Size

Context_Length

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run SD 2.1 on NVIDIA H100 PCIe? expand_more

NVIDIA H100 PCIe has 80.0GB VRAM, which provides 75.0GB of headroom beyond the 5.0GB required by SD 2.1 (0.87B). This is plenty of room for comfortable inference with room for KV cache, batching, and extended context lengths.

How much VRAM does SD 2.1 need? expand_more

SD 2.1 requires approximately 5.0GB of VRAM.

What performance can I expect? expand_more

Estimated 117 tokens per second.