🧠 Google Just Rewired the Brain of AI — Meet Ironwood

This week, Google quietly dropped a beast at Cloud Next 2025:

Ironwood, a next-gen AI accelerator chip built not for hype — but for the real, gritty work of making AI usable at scale.

Here’s why it matters (and why Nvidia should be watching closely 👀):

🔍 What’s the big deal?

Ironwood is:

  • ⚡ 4,614 TFLOPs of inference power
  • 🧠 192GB RAM with 7.4 Tbps bandwidth
  • 🧩 Cluster-ready: From 256 to 9,216 chips
  • ♻️ 2x more energy-efficient than Trillium
  • 🧬 Features a next-gen SparseCore optimized for real-time ranking, search, and recommendations

In short: It’s the infrastructure layer for the AI apps we haven’t even imagined yet.

🧩 The shift: From Training to Inference

Everyone talks about training models. Few talk about inference — where the magic actually happens for users.

Ironwood was built specifically to solve that gap. Faster, leaner, and built to scale in production.

It’s already being baked into Google Cloud’s AI Hypercomputer stack.

🧠 Why founders, builders & architects should care:

In the world of generative agents, real-time co-pilots, and personalized everything — the bottleneck isn’t the model. It’s the infrastructure.

And Ironwood just raised the ceiling on what’s possible.