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docs: Add detailed hardware requirements documentation
- Add minimum hardware requirements - Add recommended hardware requirements - Include detailed explanations for each requirement - Add notes about GPU requirements - Document storage requirements breakdown Part of SakanaAI#158 Co-Authored-By: Erkin Alp Güney <[email protected]>
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# Hardware Requirements | ||
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This document outlines the hardware requirements for running AI-Scientist effectively. | ||
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## Minimum Requirements | ||
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These are the minimum specifications needed to run AI-Scientist with cloud-based models: | ||
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- **RAM**: 8GB | ||
- Required for basic operation and model API usage | ||
- Sufficient for running with cloud-based models | ||
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- **Storage**: 10GB | ||
- 2GB for base installation | ||
- 5GB for dependencies | ||
- 3GB for workspace and generated content | ||
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- **CPU**: 4 cores | ||
- Recommended minimum for concurrent operations | ||
- Suitable for basic research tasks | ||
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- **Python**: 3.8-3.11 | ||
- Required for compatibility with dependencies | ||
- Latest patch version within range recommended | ||
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## Recommended Requirements | ||
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These specifications are recommended for optimal performance, especially when using local models: | ||
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- **RAM**: 16GB | ||
- Recommended for running local models | ||
- Provides better performance for concurrent operations | ||
- Required for larger research projects | ||
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- **Storage**: 20GB | ||
- 2GB for base installation | ||
- 8GB for dependencies | ||
- 5GB for local model files | ||
- 5GB for workspace and generated content | ||
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- **GPU**: NVIDIA with 8GB VRAM (for local models) | ||
- Required only if running local models | ||
- NVIDIA GPU recommended for compatibility | ||
- Minimum 8GB VRAM for standard model variants | ||
- Required for optimal performance with local LLMs | ||
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- **CUDA**: 11.8+ | ||
- Required only if using GPU | ||
- Compatible with PyTorch and most ML frameworks | ||
- Latest version recommended within compatibility range | ||
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## Notes | ||
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- GPU requirements are optional and only necessary for running local models | ||
- Cloud-based usage can run effectively on minimum specifications | ||
- Storage requirements may vary based on the number of local models installed | ||
- For development work, recommended specifications are strongly advised |