Originally published at: How NVIDIA GB200 NVL72 and NVIDIA Dynamo Boost Inference Performance for MoE Models | NVIDIA Technical Blog
The latest wave of open source large language models (LLMs), like DeepSeek R1, Llama 4, and Qwen3, have embraced Mixture of Experts (MoE) architectures. Unlike traditional dense models, MoEs activate only a subset of specialized parameters—known as experts—during inference. This selective activation reduces computational overhead, leading to faster inference times and lower deployment costs. When…
minor nit. The blog uses but doesn’t define TTL (token to token latency). Just FYI.