Fix EngineDeadError

✅ Solution

EngineDeadError in vllm often arises from GPU memory issues like OOM, illegal memory access, or CUDA graph replay failures due to model size, Tensor Parallelism, or faulty memory management. Fix it by reducing the model size, decreasing Tensor Parallelism, upgrading GPU drivers, limiting max_model_len, or freeing up GPU memory before inference. Verify sufficient available memory and adjust relevant parameters to prevent memory exhaustion or access violations.