GPU Leaderboard: Deploy It

On Hugging Face model pages, GitHub repos and the toolbar, see the VRAM a model needs and the cheapest verified GPU to run it.

Save money and eliminate hardware guesswork when deploying open-source AI models. GPU Leaderboard: Deploy It instantly shows you the required VRAM and the lowest verified cloud GPU costs right where you look for models. Key Features: Hugging Face Integration: Automatically detects model sizes on Hugging Face model pages, calculates required VRAM (for standard precisions like FP16, INT8, INT4), and shows the cheapest hourly GPU options across 25+ cloud providers. GitHub Repository Detection: Identifies model references and codebases on GitHub, giving you instant hardware estimates without leaving the page. Toolbar Quick-Lookup: Search any AI model or GPU architecture directly from your browser toolbar to compare live inference and training pricing. Real-Time Price Index: Powered by GPU Leaderboard, aggregating live spot and on-demand rates from providers like Latitude, RunPod, CoreWeave, Massed Compute, and more. Why Install? Avoid OOM Errors: Know exactly how much VRAM you need before renting a GPU instance. Cut Cloud Costs: Find hidden, low-cost cloud providers for NVIDIA (H100, A100, RTX 4090, RTX 5090) and AMD GPUs.