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The Evolution of GPU Architecture - From Floating Point Precision to Tensor Cores
by Nat Currier 19 min read
HardwareGPUComputingAITechnology
Excerpt
An exploration of GPU architecture evolution from simple graphics processors to computational powerhouses, examining the shift from high-precision floating point to specialized matrix units and how this transformation is reshaping computing across scientific, creative, and AI domains.
This post was composed with the assistance of AI tools used solely for formatting and refining language. The opinions, experiences, and research presented are entirely my own. I strive to share accurate, well-researched information and welcome feedback or corrections. I support the ethical use of AI in content creation and firmly believe that appropriate credit is always due—even when AI plays a role in shaping the final product.