As large language models (LLMs) continue to evolve at an unprecedented pace, enterprises are looking to build generative AI-powered applications that maximize throughput to lower operational costs and minimize latency to deliver superior user experiences. This post discusses the critical performance metrics of throughput and latency for LLMs, exploring their importance and trade-offs between the … Continue reading Optimizing Inference Efficiency for LLMs at Scale with NVIDIA NIM Microservices