Hypervector
AICanRun
Locally AI
AICanRun helps you find out which AI models can run locally on your phone, Mac, or PC. Compare device compatibility, memory requirements, quantization options, and estimated performanceโall in one place.
Hypervector AICanRunAICanRun's answer:
AICanRun focuses on a simple but surprisingly difficult question: โWhich AI models can actually run locally on my device?โ It matches specific Android phones, iPhones, and exact Mac memory configurations with local AI models and quantization options. Every result includes transparent memory calculations, estimated performance, and a clear distinction between formula-based estimates and verified real-device benchmarks.
AICanRun's answer:
AICanRun goes beyond a generic RAM calculator. It accounts for the deviceโs usable memory, chipset bandwidth, model size, context requirements, quantization, andโin supported casesโcooling and exact memory configuration. The results explain why a model fits or does not fit, making it easier to choose the right model and quant without relying on guesswork. Estimates are always labeled honestly and are never presented as measured results.
AICanRun's answer:
AICanRun is built for people who want to run AI privately and locally on their own hardware. Its primary audience includes Android and iPhone users exploring offline AI, Mac owners choosing local LLMs, developers building on-device AI applications, privacy-conscious users, and local-AI enthusiasts comparing models and quantizations.
AICanRun's answer:
AICanRun started with a common question: โCan this AI model run on my phone or computer?โ Existing answers were often scattered across model pages, hardware specifications, forum posts, and rough memory calculations. AICanRun brings that information together in one searchable tool, with a particular focus on phones and exact Mac configurations. The name comes directly from the question โCan AI run on my device?โโand the goal is to provide a clear, honest answer.
AICanRun's answer:
AICanRun is built with TypeScript, Next.js, React, and Vercel. Its compatibility engine uses structured device, chipset, model, quantization, and benchmark data, while model metadata is sourced and updated through the Hugging Face ecosystem. The service uses pre-rendered pages and client-side compatibility calculations for fast results with minimal backend infrastructure.
AICanRun's answer:
AICanRun is a free public tool for individual users and does not currently publish or claim a list of major customers.
