Fileion Daily

Fileion Daily

Fileion Daily is a dynamic Tech News community within Fileio...

Joined December 2024

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Asif Mohammad Sovon

Asif Mohammad Sovon

Meet Asif Mohammad Sovon, an IT Assistant in the Bangladesh Air Force and a tech writer for Fileion....

Joined February 2025

1 min read

Apr 11, 2025

Google launches Ironwood: Seventh-Generation TPU Optimized for AI Inference

TN-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

  1. Enhanced Compute Power: Each Ironwood chip delivers a peak performance of 4,614 teraflops.
  2. 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.
  3. Memory and Bandwidth Improvements: Each chip is equipped with 192GB of High Bandwidth Memory (HBM), offering bandwidth up to 7.2 terabits per second.
  4. 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.

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