Exploring Performance Advances in Mixture of Experts AI Models on NVIDIA Blackwell
AI usage keeps expanding, and so does the demand for tokens (the units generated by language models). When usage grows, the winning platform is often the one that can generate more tokens per second without exploding cost and power. That is where Mixture of Experts (MoE) models and NVIDIA’s Blackwell platform intersect. Note: This article is informational only and not purchasing or engineering advice. Performance depends on model, sequence length, batching, and software versions. Platform capabilities can change over time. TL;DR Token throughput is the bottleneck for scaled AI services: more tokens per second usually means lower cost per answer. MoE models activate only a subset of parameters per token, improving efficiency while keeping model capacity high. Blackwell + inference software focuses on faster expert routing, better all-to-all communication, and low-precision execution to lift MoE throughput. Skim Guide MoE basic...