FlashQwen – A from-scratch CUDA inference engine for Qwen3

FlashQwen is a from-scratch CUDA inference engine optimized for the Qwen3 large language model, designed for developers and researchers who need high-performance, low-latency inference on NVIDIA GPUs. It bypasses standard frameworks like PyTorch to achieve greater control and efficiency, making it particularly interesting for deploying Qwen3 in production or resource-constrained environments. The project showcases advanced GPU kernel programming to maximize throughput while minimizing memory overhead.