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SelfHostLLM

Name: SelfHostLLM
Brand: SelfHostLLM
Rating: 5 (134 reviews)

Calculate the GPU memory you need for LLM inference

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134 Upvotes

About

The page functions as a GPU Memory Calculator and Performance Estimator for self-hosting Large Language Models (LLMs). It provides detailed formulas and step-by-step breakdowns for calculating maximum concurrent requests and expected token generation speed. Users can configure hardware (GPU model, number of GPUs, VRAM, system overhead) and model parameters (model type, quantization, context length) through interactive input fields. The page also offers specific handling for Mixture-of-Experts (MoE) models and includes important notes on real-world performance variances.

Categories & Tags

Open Source Developer Tools Artificial Intelligence #Minimal #Dark Mode #Functional #Text-heavy #Technical

Color Palette

Primary Text

#E0E0E0

60%

Background

#1A1A1A

30%

Accent Blue (Links/Interactive)

#007BFF

Accent Green (Positive Status)

#28A745

Typography

Sans-serif (e.g., Arial, Helvetica)

All text (headings, body, form labels, results)

Design Review

The design is highly functional and prioritizes clarity for a technical audience. The dark theme, complemented by the ASCII art logo, gives it a distinct, somewhat retro-technical aesthetic that aligns well with the topic of self-hosting LLMs. The layout is straightforward, presenting complex formulas and breakdowns in an easy-to-follow manner. The use of color-coded performance ratings (green, yellow, red) effectively highlights different levels of speed. While the page is text-heavy, clear headings and structured content ensure navigability. The input forms are intuitive, allowing users to easily configure their setup. Overall, the design is effective for its purpose, offering a practical tool with a no-frills, developer-centric look and feel.