GPU Sizer

GPU Sizer provides a precise method for determining optimal GPU hardware for large language model inference. Key capabilities include: • Deterministic VRAM calculation • Validated throughput prediction • Cost estimation across 100+ GPUs • Compatibility with various models and quantizations This platform eliminates guesswork in GPU selection, offering a robust, data-backed approach. Users can input specific model details, quantization levels, and context lengths to receive immediate, accurate figures for fit, speed, and cost. The system's throughput model is rigorously validated against 19 published benchmarks, achieving an 11.3% median error, ensuring reliable predictions. Built for engineers and researchers, GPU Sizer helps avoid expensive hardware misconfigurations. It performs the complex arithmetic of VRAM sizing and throughput estimation, presenting a defendable number for design reviews. The tool is entirely free, requiring no credit card, and updates automatically with new GPUs and models. It's an essential resource for anyone planning to deploy or scale language models, ensuring efficient resource allocation before any purchase or rental.