GLM-4V Image Descriptor on 24GB GPU
Compatible with 24GB GPU
This node will run on RTX 3090, RTX 4090, A5000 and similar GPUs with 24GB VRAM.
Optimized Settings for 24GB
VRAM Utilization
1%
You're using 1% of your 24GB VRAM, leaving 23.9GB headroom.
Recommended Batch Size
23
Start with batch size of 23 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 24GB.
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:
- 128MB (0.13GB)
- Your GPU (24GB):
- 24576MB (24GB) - RTX 3090, RTX 4090, A5000
- VRAM Utilization:
- 1%
- Available Headroom:
- 23.88GB
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Python Dependencies
accelerate>=0.21.0 # 模型加速库 / Model acceleration librarybitsandbytes>=0.41.0 # 量化支持库 / Quantization support librarycsv# CSV处理库（Python内置） / CSV processing library (built-in Python)glob# 文件名模式匹配（Python内置） / Filename pattern matching (built-in Python)json# JSON处理库（Python内置） / JSON processing library (built-in Python)numpy>=1.21.0 # 数值计算库 / Numerical computing libraryos# 操作系统接口（Python内置） / OS interface (built-in Python)pathlib# 路径处理库（Python 3.4+内置） / Path handling library (built-in Python 3.4+)pillow>=9.0.0 # Python图像处理库 / Python Image Libraryprotobuf>=3.20.0 # Protocol Buffers支持 / Protocol Buffers support
+ 6 more dependencies