A memory bandwidth of 936.2GB/s makes NVIDIA’s RTX 3090 quite capable at prompt processing and token generation speeds, if not for the fact that its 24GB VRAM makes the situation a little limiting. One developer running Qwen3.8-27B on the GPU managed 82 tok/s, but by releasing and utilizing a custom inference engine, that speed increased to 382 tok/s, resulting in a near-5x gain in token generation, all thanks to optimizations. There are still some hiccups encountered throughout the journey, with the details mentioned below. Token generation speeds increase by multiple times when Qwen3.8-27B is already repeating the text that it […]
Read full article at https://wccftech.com/rtx-3090-4-6x-token-generation-27b-llm-inference-optimizations/
