Production-Ready Large Language Model Inference on Kubernetes: A Practical Approach to Distributed GPU Serving
Introduction Running a large language model in a development environment is very different from operating the same model in production. A local deployment may work perfectly when serving a few requests, but production workloads introduce a completely different set of challenges. Multiple users may send requests simultaneously, models may require several GPUs, response-time requirements may […]
