Red Hat argues CPUs can rival GPUs for LLM inference workloads

Red Hat has published a blog post challenging the assumption that GPUs are always the optimal hardware for large language model inference. The article argues that modern CPUs have advanced significantly and may be competitive for certain LLM inference tasks. This perspective encourages engineers to reconsider the default CPU-GPU split when deploying AI workloads. The post suggests that relying solely on GPUs may not always be necessary or cost-effective for inference at scale.