I wrote a custom CUDA inference engine to run Qwen3.5-27B on $130 mining cards (news.ycombinator.com)

A developer has created a custom CUDA inference engine specifically designed to run the Qwen 3.5-27B model on affordable mining graphics cards, costing around $130. This innovative approach effectively leverages the processing power of these often-overlooked GPUs, typically used for cryptocurrency mining, to perform sophisticated AI tasks. The engine optimizes the model's performance and enables accessibility for developers and researchers who may be constrained by high hardware costs. This development is significant for the AI and machine learning communities as it democratizes access to advanced AI capabilities. By utilizing mining cards, which are generally available and inexpensive, this solution lowers barriers to entry for those looking to experiment with large language models. Additionally, the project's focus on maximizing efficiency using CUDA highlights the ongoing importance of software optimization in deploying AI models effectively, underscoring the potential of GPU hardware beyond its traditional applications. This could pave the way for more cost-effective AI solutions and encourage wider experimentation in the field.