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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Prashanth Kannan

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Preprint Aug 2026

HCCL: Collective Communication for Meta Training and Inference Accelerators

HCCL, a collective communication library co-designed with Meta's MTIA 300 accelerator, the first Meta chip to integrate backend networking directly on chip package, and describes collective designs that improve compute-communication pipelining for latency-sensitive workloads are presented.

W. Bland, Tiago Antunes, Lars Paul Huse et al. · 0 citations
Book Open access Aug 2026

Connecting 100K+ GPUs: Building the Communication Stack for Large-Scale LLM Training

This work presents Meta's network architecture and software stack designed to support one of the world's largest RoCE fabrics, currently connecting over 100,000 GPUs across multiple datacenter buildings, and introduces a scalable initialization strategy that reduces startup times by 11× via eager process group creation and O(N) topology discovery.

Hongyi Zeng, Min Si, Pavan Balaji et al. · 0 citations

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