Main Conference Agenda 2025

As AI evolves into agentic systems where dozens to hundreds of LLMs and specialized models work in concert, running them efficiently in data centers poses immense software challenges. From disaggregating massive LLMs and aggregating smaller models to dynamically scheduling diverse and unpredictable user requests, every layer requires precise optimization. Inference workloads must navigate continuous growth and rapid innovation, pushing the limits of conventional software stacks. Just as DeepSeek redefined its entire infrastructure beyond CUDA, Moreh is partnering with leading LLM players to deliver the fastest, most advanced distributed inference framework on AMD and Tenstorrent.