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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

Tushar Krishna

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Book Open access Jul 2026

Closing the Efficiency Gap: AI Datacenter Co-design Roadmap for Scalable Training of LLMs

This work introduces Calculon-MoE, a tool that jointly explores FLOPS, HBM bandwidth and capacity, multiple network topologies, and popular parallelism/optimization strategies used in LLMs, and quantifies the benefits of overlapping compute and communication, hardware-accelerated collectives, widening the scale-up domain, and higher memory bandwidth and capacity.

Jesmin Jahan Tithi, Hanjiang Wu, Joongun Park et al. · 0 citations
Book Open access Aug 2026

DynamoServe: A Distributed Tiered Memory System for Multi-tenant LLM Serving

DynamoServe is presented, a multi-tenant LLM serving framework that addresses challenges through three key innovations: leveraging stranded GPU memory to offload model weights and KV caches, mitigating resource fragmentation in multi-workload environments, and improving memory locality through coordinated data placement and demand-driven weight migration across GPUs.

Diman Zad Tootaghaj, Khaled Diab, Bob Lantz et al. · 0 citations

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