Show HN: PureBee – A software-defined GPU running Llama 3.2 1B at 3.6 tok/SEC (github.com)

PureBee has announced a groundbreaking software-defined GPU that can run the Llama 3.2 1B model at an impressive rate of 3.6 tokens per second, all without relying on traditional hardware like GPUs or CUDA. This innovative system operates purely on mathematical principles, employing a four-layer architecture that includes runtime management, an instruction set for operations, an engine for parallel computation, and a memory layout for efficient data handling. The project underscores the belief that computation is fundamentally about mathematical functions rather than the physical hardware typically used to facilitate them. This development is highly significant for the AI/ML community as it democratizes access to AI inference by enabling it to run on virtually any device, regardless of its silicon architecture. This eliminates barriers tied to specific hardware requirements, promotes transparency through an auditable specification, and enhances portability across platforms. Additionally, PureBee's approach challenges conventional assumptions about AI processing, suggesting that as long as the necessary math is implemented correctly, inference can occur anywhere. As it continues to evolve, PureBee aims to expand its model support, enhance its instruction set, and publish its formal specifications, inviting contributions that adhere to its foundational principles.