SelfHostLLM

SelfHostLLM is a specialized GPU memory calculator designed to help users efficiently plan and manage the resources needed for self-hosted large language model (LLM) inference. It supports popular models such as Llama, Qwen, DeepSeek, and Mistral, enabling users to estimate GPU VRAM requirements and the maximum number of concurrent requests their hardware can handle. By factoring in model size, quantization, context length, and system overhead, SelfHostLLM provides a detailed breakdown of memory usage, helping developers and AI infrastructure planners optimize deployment configurations. This tool is essential for anyone running LLMs locally or on private servers, ensuring cost-effective and performant AI inference without over-provisioning hardware. With its clear formulas and step-by-step calculations, SelfHostLLM empowers users to make informed decisions about GPU allocation, model selection, and expected throughput, bridging the gap between complex AI models and practical hardware constraints.