Post by : Bianca Qureshi
In a major move in the global AI infrastructure race, Google has unveiled its seventh-generation Tensor Processing Unit (TPU), called Ironwood. The chip is designed to tackle large-scale AI workloads, including real-time applications like chatbots and intelligent agents, positioning Google as a key player in enterprise AI solutions.
Ironwood, developed entirely in-house, can connect up to 9,216 chips in a single pod, significantly reducing data bottlenecks. This architecture allows organizations to run and scale massive AI models efficiently. Google claims the new chip delivers over four times the performance of its previous TPU generation while also improving energy efficiency.
The chip has already been tested with select partners earlier this year, and it will soon be available for broader public use. Notably, AI startup Anthropic plans to deploy up to one million Ironwood TPUs for its Claude AI model, highlighting strong adoption interest among leading AI developers.
Alongside the Ironwood launch, Google is enhancing its cloud computing offerings with upgrades aimed at faster, more flexible, and cost-effective services. The company’s cloud division has been growing steadily, with Q3 2025 revenue reaching $15.15 billion, up 34% year-on-year, reflecting the rising demand for AI-powered infrastructure.
As AI workloads continue to expand across industries, Google’s Ironwood TPU represents a strategic push to provide enterprises with high-performance, scalable solutions. The chip positions Google to better compete with Nvidia’s GPU dominance while offering a potentially more energy-efficient and scalable alternative for large-scale AI operations.
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