State of Local AI Report (www.basecompute.co)

The recently released "State of Local AI Report" offers a comprehensive overview of the capabilities of running AI models on local hardware, such as laptops and workstations, rather than relying on cloud APIs. This report is significant for the AI/ML community as it outlines how local AI can be effectively leveraged, detailing the constraints posed by memory capacity, bandwidth, and compute power. It maps different models and their suitability to various hardware types, providing insights into realistic performance metrics like tokens per second for tasks ranging from chat interactions to complex coding assistance. Notably, the report highlights advancements in local model performance, including the new GLM-5.3 model, which boasts features like native vision-language input and enhanced context handling. Additionally, it emphasizes the introduction of hardware enhancements, such as the M5 Ultra, which significantly boosts memory bandwidth—important for running larger models efficiently. With detailed specifications on what type of hardware is needed for various use cases, from basic Q&A to agentic coding tasks, the report serves as a valuable resource for developers and businesses looking to optimize AI performance on localized setups, ensuring they can match their hardware capabilities with appropriate model classes effectively.