Deep Dive Documentation Series

Google TPU & XLA Platform

Comprehensive technical exploration of Google's Tensor Processing Units, XLA compiler infrastructure, and JAX programming framework

🧠 TPU v7 Ironwood | JAX/XLA Stack
Chapters

Select Your Module

01
🔧

XLA & TPU Binaries

Deep dive into the XLA compilation pipeline. Understand HLO intermediate representation, TPU-specific optimizations, and how JAX programs are transformed into efficient TPU executables.

XLA HLO StableHLO MLIR JAX
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02
🏗️

TPU Architecture Deep Dive

Evolution from TPU v1 to Ironwood. Explore Matrix Units (MXUs), Vector Processing Units (VPUs), HBM memory systems, and the Inter-Chip Interconnect (ICI) that powers TPU pods.

TPU v4 TPU v5e TPU v5p Trillium Ironwood MXU
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03
⚡

JAX/XLA Software Stack

Master the TPU software ecosystem. Learn JAX transformations, XLA optimizations, Flax neural network library, and how to efficiently program TPU pods for large-scale ML workloads.

JAX Flax Pallas pjit vmap
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