Google launches Ironwood: Seventh-Generation TPU Optimized for AI Inference
At the Cloud Next 2025 conference, Google introduced Ironwood, its seventh-generation Tensor Processing Unit (TPU). This step marks a significant advancement in AI acceleration technology. The chip is specifically designed for inference tasks like enhancing the performance and efficiency of AI applications.
Key Features and Performance
Enhanced Compute Power: Each Ironwood chip delivers a peak performance of 4,614 teraflops.
Scalability: For Google Cloud customers, Ironwood comes in two sizes based on AI workload demands: a 256 chip configuration and a 9,216 chip configuration.
Memory and Bandwidth Improvements: Each chip is equipped with 192GB of High Bandwidth Memory (HBM), offering bandwidth up to 7.2 terabits per second.
Energy Efficiency: Ironwood provides twice the performance per watt compared to its predecessor, Trillium. It reflects significant improvements in the energy efficiency of the newer chip.
Strategic Implications
The introduction of Ironwood highlights Google's commitment to advancing AI infrastructure and reducing reliance on external hardware providers. By developing exclusive TPUs, Google aims to optimize its AI services and offer competitive alternatives in the cloud computing market.
Availability
Ironwood is scheduled to be available to Google Cloud customers by late 2025, with configurations tailored to meet diverse AI workload demands.
What are your thoughts on Google's new Ironwood TPU and its potential impact on AI applications? Share your opinions in the comments below.
, at Cloud Next 2025 — a major leap in AI inference technology. With a peak performance of 4,614 teraflops, up to 192GB of HBM per chip, and bandwidth reaching 7.2 Tbps, Ironwood delivers double the performance per watt compared to its predecessor, Trillium. Offered in 256 and 9,216 chip configurations, it’s designed to scale based on cloud AI workload needs. Scheduled for release in late 2025, Ironwood strengthens Google’s push for AI infrastructure dominance while reducing dependency on third-party hardware.){kind=link}
