SelfHostLLM
Calculate GPU memory and performance requirements for running large language models on your own hardware
| What is it | Calculate GPU memory and performance requirements for running large language models on your own hardware |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| Best for | Planning hardware requirements for LLM deployment, Estimating performance before purchasing GPUs |
| Domain registered | 2025 |
Data updated Aug. 1, 2026
What does SelfHostLLM do?
SelfHostLLM is a web-based calculator that helps you determine the hardware requirements for running large language models locally. You input your GPU specifications, choose a model, set quantization levels, and configure context length, and it calculates exactly how much VRAM you'll need and how many concurrent requests your setup can handle. It gives you concrete numbers for memory usage and token generation speed based on your specific configuration.
The tool stands out by providing detailed breakdowns of how it calculates both memory requirements and performance estimates. It explains the formulas step-by-step, showing how model size, quantization, context length, and GPU specifications affect your setup. For Mixture-of-Experts models, it automatically adjusts calculations to account for active versus total parameters. The calculator includes a comprehensive database of popular GPU models and LLMs, making it easy to get started without manual research.
This tool is perfect for developers, researchers, and businesses planning to deploy LLMs on their own infrastructure. It helps you avoid costly mistakes by ensuring your hardware can handle your intended workload before you invest in GPUs or cloud instances. Use cases include planning local AI deployments, optimizing existing hardware configurations, and comparing different GPU options for specific model requirements.
Key features
What makes it stand outWho is SelfHostLLM for?
Who benefits most from this toolTrust & presence
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