1How DRA can improve the performance of distributed LLM inference workloads with RDMA and SR-IOVdevelopers.redhat.comHigh10·28 13:16Z
Red Hat published a technical article on October 28 describing how Dynamic Resource Allocation (DRA) can improve performance of distributed large language model inference workloads using RDMA and SR-IOV1. The post notes that production engines like vLLM and distributed inference frameworks like llm-d are adopting disaggregated, highly parallelized architectures as LLM inference shifts from a compute challenge to a distributed network bottleneck.