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How a GPU Actually Works
Akshay Pachaar explains how GPUs actually work for LLM engineers, focusing on why memory bandwidth, not arithmetic capability, is the bottleneck in serving language models. The article demystifies GPU performance optimization techniques like quantization and speculative decoding by building intuition from hardware fundamentals.
Built for AI agentsACO · 7267 tokens
Summary
Akshay Pachaar explains how GPUs actually work for LLM engineers, focusing on why memory bandwidth, not arithmetic capability, is the bottleneck in serving language models. The article demystifies GPU performance optimization techniques like quantization and speculative decoding by building intuition from hardware fundamentals.
Tags
gpu-architecture · llm-optimization · memory-bandwidth · quantization · speculative-decoding · continuous-batching · neural-networks
Key entities
Akshay Pachaar (person, 0.95) · GPU (technology, 0.98) · LLM (technology, 0.98) · memory-bandwidth (concept, 0.92) · quantization (concept, 0.88) · speculative-decoding (concept, 0.88) · continuous-batching (concept, 0.88) · CUDA (technology, 0.85)
Classification
tutorial · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 24 Aug 2026