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How NVIDIA GB200 NVL72 and NVIDIA Dynamo Boost Inference Performance for MoE Models

NVIDIA Developer Blog · published 6 June 2025

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https://www.nvidia.com/en-us/glossary/mixture-of-experts/

nvidia.com

https://www.nvidia.com/en-us/data-center/gb200-nvl72/?ref=wheresyoured.at

nvidia.com

https://research.nvidia.com/publication/2025-06_beyond-buzza-pragmatic-take-inference-disaggregation

research.nvidia.com

https://github.com/ai-dynamo/dynamo

github.com

https://docs.nvidia.com/dynamo/latest/architecture/kv_cache_routing.html

docs.nvidia.com

https://docs.nvidia.com/dynamo/latest/planner.html

docs.nvidia.com

https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/

nvidia.com

https://blogs.nvidia.com/blog/mixture-of-experts-frontier-models/

blogs.nvidia.com

Elsewhere on developer.nvidia.com (4)

https://developer.nvidia.com/dynamo

developer.nvidia.com

Demystifying AI Inference Deployments for Trillion Parameter Large Language Models Read at the source ↗

developer.nvidia.com

Applying Mixture of Experts in LLM Architectures Read at the source ↗

developer.nvidia.com

NVIDIA GB200 NVL72 Delivers Trillion-Parameter LLM Training and Real-Time Inference Read at the source ↗

developer.nvidia.com