Speculative Decoding in vLLM on AMD GPUs
Researchers have integrated speculative decoding into the vLLM inference engine to run large language models on AMD GPUs. The approach generates multiple token candidates ahead of time, using a smaller draft model to predict likely outputs, then verifies them with the main model, reducing latency. Benchmarks show notable speed improvements compared to standard decoding on comparable hardware.