VRAM Calculator was created to help AI researchers, engineers, and enthusiasts accurately estimate the video memory requirements for running Large Language Models. As LLMs continue to grow in size and complexity, understanding their resource requirements becomes increasingly important for efficient deployment.
Our Mission
Our mission is to simplify the process of planning LLM deployments by providing accurate memory requirement estimates. We aim to help you:
- Avoid out-of-memory errors during model training and inference
- Optimize your hardware resources for cost-effective AI deployment
- Make informed decisions when purchasing or allocating GPU resources
- Understand the memory implications of different model configurations
Methodology
Our calculator uses industry-standard formulas and heuristics derived from academic research and practical experience with LLM deployments. While we strive for accuracy, please note that actual memory usage may vary based on specific implementation details, software frameworks, and optimization techniques.
The Team
Adriano Amalfi
Project Creator & Maintainer
AI researcher and developer passionate about making advanced technologies accessible to everyone. Created VRAM Calculator to help others navigate the complex world of LLM deployment.
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Contribute
This is an open-source project. We welcome contributions from the community to help improve the calculator.
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