Posts by Guihong Li

Accelerating Mixture-of-Experts Execution with FarSkip-Collective Models

Whether you are running training or inference, the largest Mixture-of-Experts (MoE) based LLMs cannot fit on a single GPU; instead you must run collective-communication operations to integrate the work of multiple GPUs to work together on a single model.

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AMD-HybridLM: Towards Extremely Efficient Hybrid Language Models

The rapid rise of deep learning applications has intensified the demand for language models that offer a balance between accuracy and efficiency—especially in settings constrained by memory, compute, or real-time requirements. While Transformer-based models have revolutionized natural language processing, their quadratic attention complexity and large key–value (KV) cache requirements pose serious challenges for deployment, particularly on edge devices or in latency-sensitive environments.

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