Ironwood Tensor Processing Unit (TPU)

Google's 7th-gen custom AI accelerator for super large-scale training and inference.

Visit websitecloud.google.com/tpu

Overview

Ironwood is Google's seventh-generation Tensor Processing Unit (TPU), designed as a custom AI accelerator for large-scale AI training and inference. Optimized for demanding AI workloads like super large LLMs and Mixture-of-Experts (MoE) models, it powers inferential AI at scale. Targeting B2B enterprises and developers via Google Cloud, Ironwood offers significant performance gains, massive HBM capacity, and enhanced interconnects, enabling the age of inference.

What's New with Ironwood Tensor Processing Unit (TPU)

Latest news, updates, and media coverage

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Frequently asked questions about Ironwood Tensor Processing Unit (TPU)

Ironwood Tensor Processing Unit (TPU) is a paid tool. Google's 7th-gen custom AI accelerator for super large-scale training and inference.

Key features of Ironwood Tensor Processing Unit (TPU) include: Significant performance gains and power efficiency (2x faster than Trillium)., Massive 192 GB HBM capacity per chip (6x Trillium) and 7.37 TB/s HBM bandwidth., Optimized for large-scale LLMs, generative AI, and MoE models., Scales up to 9,216 chips per pod, delivering 42.5 Exaflops of compute power..

Ironwood Tensor Processing Unit (TPU) is primarily designed for businesses and professionals. Google's 7th-gen custom AI accelerator for super large-scale training and inference.

Popular alternatives to Ironwood Tensor Processing Unit (TPU) include Google AI Studio, Cohere, Replicate. Compare their features on Decod.tech to find the best fit.

Ironwood Tensor Processing Unit (TPU) remains relevant in 2026. Ironwood is Google's seventh-generation Tensor Processing Unit (TPU), designed as a custom AI accelerator for large-scale AI training and inference. O The pricing model is paid. Check reviews and comparisons on Decod.tech to decide.

Ironwood Tensor Processing Unit (TPU) is offered as a paid tool. Detailed pricing is available on the official website. Check Decod.tech to compare with alternatives.

Overview