April 22, 2026 — Google announced general availability of its seventh-generation Tensor Processing Unit, Ironwood, at Google Cloud Next 2026, its first TPU designed specifically for inference workloads.
What happened
Google said Ironwood delivers roughly ten times the peak performance of its TPU v5p and about four times the per-chip performance of the prior TPU v6e (Trillium) generation, scaling up to superpods of thousands of chips. Anthropic disclosed a commitment to use up to one million TPU chips, including an initial 400,000 Ironwood units, extending its compute plans into 2027.
Why it matters
A major AI lab the size of Anthropic committing to Google’s custom silicon at this scale, alongside its existing Nvidia and Azure relationships, reinforces that frontier AI companies are deliberately spreading compute dependency across multiple hardware ecosystems rather than standardizing on one.
Security and infrastructure impact
For enterprise buyers, the diversification of underlying AI hardware across Nvidia, custom hyperscaler silicon like Ironwood, and vendor-specific chips such as OpenAI’s Titan means that performance, cost and security characteristics increasingly vary by which cloud and chip a given AI service actually runs on.









