Aug 4, 2026 · Artificial Intelligence

Understanding the Transformer Architecture Behind Modern AI Models (Comprehensive Visual Guide)

The article explains how the Transformer, introduced by Google in 2017, replaced RNN/LSTM/GRU architectures, enables parallel computation through attention, dramatically improves GPU utilization, and forms the foundation of large‑scale models such as GPT, Claude and Gemini.

Attention MechanismGPU ParallelismTransformer

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Understanding the Transformer Architecture Behind Modern AI Models (Comprehensive Visual Guide)

Zhihu Tech Column

Mar 14, 2025 · Artificial Intelligence

Insights from Zhihu’s ZhiLight Large Model Inference Framework: Architecture, Parallelism, and Performance Optimizations

The article summarizes Zhihu’s technical talk on the ZhiLight large‑model inference framework, detailing model execution mechanisms, GPU load analysis, multi‑GPU parallel strategies, open‑source engine comparisons, compute‑communication overlap, quantization techniques, benchmark results, and future directions for scalable LLM deployment.

GPU ParallelismSGLangZhiLight

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Insights from Zhihu’s ZhiLight Large Model Inference Framework: Architecture, Parallelism, and Performance Optimizations