IF_LLM on 10GB GPU
Compatible with 10GB GPU
This node will run on RTX 3080 (10GB) and similar GPUs with 10GB VRAM.
Optimized Settings for 10GB
VRAM Utilization
3%
You're using 3% of your 10GB VRAM, leaving 9.8GB headroom.
Recommended Batch Size
9
Start with batch size of 9 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 10GB.
Performance Tips
- Close other GPU-intensive applications
- Low VRAM mode available
- Monitor GPU usage with nvidia-smi
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VRAM Requirements
- Base VRAM Requirement:
- 256MB (0.25GB)
- Your GPU (10GB):
- 10240MB (10GB) - RTX 3080 (10GB)
- VRAM Utilization:
- 3%
- Available Headroom:
- 9.75GB
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Python Dependencies
accelerateaiohttp>=3.8.5anthropicdatasetsdecord>=0.6.0ffmpeg-python>=0.2.0google-genaigroqhttps://github.com/woct0rdho/triton-windows/releases/download/v3.1.0-windows.post8/triton-3.1.0-cp312-cp312-win_amd64.whl; sys_platform == "win64" and (python_version >= "3.12" and python_version < "3.13")https://github.com/woct0rdho/triton-windows/releases/download/v3.1.0-windows.post8/triton-3.1.0-cp311-cp311-win_amd64.whl; sys_platform == "win64" and (python_version >= "3.11" and python_version < "3.12")
+ 27 more dependencies