May 30, 2026 · Artificial Intelligence

Why Do GPUs, FPGAs, and Carbon‑Based Brains Take Different Paths Under the Same Physical Laws?

Reiner Pope explains how the physical limits of logic gates, data movement costs, low‑precision arithmetic scaling, and clock synchronization shape the divergent architectures of GPUs, FPGAs, and emerging carbon‑based AI processors.

AI acceleratorsSystolic Arrayhardware architecture

0 likes · 8 min read

Why Do GPUs, FPGAs, and Carbon‑Based Brains Take Different Paths Under the Same Physical Laws?

Past Memory Big Data

Feb 25, 2026 · Artificial Intelligence

How Google’s TPU Systolic Array Powered AlphaGo and Large Language Models

Google’s Tensor Processing Unit (TPU) uses a systolic array architecture and low‑precision quantization to overcome the Von Neumann bottleneck, delivering orders‑of‑magnitude higher throughput and energy efficiency for matrix‑multiplication‑heavy AI workloads—from AlphaGo’s inference to today’s massive language models.

AI hardwareGoogleSystolic Array

0 likes · 15 min read

How Google’s TPU Systolic Array Powered AlphaGo and Large Language Models