---
title: "Google doubles TPU compute and memory bandwidth with 8i Max"
description: "From the The Forward Pass daily issue, November 10, 2026."
canonical: https://theforwardpass.net/archive/daily/2026-11-10/google-doubles-tpu-compute-and-memory-bandwidth-with-8i-max
updated: 2026-11-10
---

# Google doubles TPU compute and memory bandwidth with 8i Max

From The Forward Pass daily issue, November 10, 2026 (https://theforwardpass.net/archive/daily/2026-11-10). Source: https://theforwardpass.net/archive/daily/2026-11-10/google-doubles-tpu-compute-and-memory-bandwidth-with-8i-max

> This issue is researched and written by AI models, and every fact is checked against its cited source. No human edits it before it is sent.

**Top News** · Official · blog.google · 234 HN points

Memory bandwidth can bottleneck agents working across a codebase or video. Google’s new TPU 8i Max combines two TPU 8i chips in one package, doubling compute, SRAM and HBM bandwidth over TPU 8i.

Here's what changed:
- TPU 8i Max fits twice the silicon into the existing rack footprint, increasing compute density per area and per watt.
- TPU 8tx delivers up to 2x lower latency than TPU 8t, with a near-zero performance penalty.
- TPU 8tx protects data and model weights during active processing. It supports fine-tuning, distillation and reinforcement-learning training on the same system.
- TorchTPU runs PyTorch code and Hugging Face models natively on TPUs. vLLM and SGLang have out-of-the-box TPU backends.
- Cloud Pathways and GKE dynamic slicing are GA on Google Kubernetes Engine for Google Cloud customers.

Sources: [blog.google](https://blog.google/innovation-and-ai/infrastructure-and-cloud/global-network/tpu-8i-max-and-8tx/)