Show HN: A picker that maps local LLMs to hardware, hardware to LLMs (llmrequirements.com)

A new tool has been introduced that facilitates the selection of local AI hardware and compatible large language models (LLMs), making it easier for users to navigate the growing landscape of local AI systems. The platform offers five entry points for users, guiding them from hardware purchasing decisions to understanding which models operate best on their existing setups. It features a comprehensive database of 69 hardware configurations, each mapped to corresponding LLMs based on benchmark data, ensuring that users have access to updated and relevant information. This development is significant as it empowers both enthusiasts and professionals in the AI/ML community to optimize their setups for local AI processing. By providing detailed comparisons of hardware builds and LLM performance, users can make informed choices tailored to their specific budgets and needs. The tool's bi-daily updates on model and hardware launches further enhance its utility, positioning it as a critical resource in an environment where hardware capabilities and AI model performance are rapidly evolving.