As organizations race to productionize large language model (LLM) workloads, two powerful open-source projects have emerged to tackle the complexity of inference at scale: vLLM and llm-d.Are llm-d and vLLM on the same track, or are they steering toward different finishing lines?vLLM: The High-Performance Inference EnginevLLM is an enterprise open-source based inference engine for LLMs. Its performance edge comes from innovations like:PagedAttention, which enables efficient KV cache managementSpeculative decoding supportTensor parallelism (TP) and multi-model supportIntegration with Hugging Fac