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Google Cloud Unveils Two New AI Chips to Challenge Nvidia

ai-technology · 2026-04-24

Google Cloud has unveiled its eighth generation of custom AI chips, dividing them into two categories: the TPU 8t designed for model training and the TPU 8i intended for inference. These new TPUs promise training speeds up to three times faster, an 80% increase in performance per dollar, and the capability to cluster over 1 million units. However, Google is not phasing out Nvidia; it plans to introduce Nvidia's Vera Rubin chip later this year. Additionally, Google is working with Nvidia on Falcon networking software to enhance the efficiency of Nvidia-based systems in its cloud. Analyst Patrick Moorhead remarked that his 2016 forecast about Google's TPUs negatively impacting Nvidia was incorrect, as Nvidia currently boasts a market cap nearing $5 trillion. This development highlights the fierce competition among hyperscalers like Amazon, Microsoft, and Google in the AI chip arena while still depending on Nvidia.

Key facts

  • Google Cloud announced eighth-generation TPUs split into TPU 8t (training) and TPU 8i (inference).
  • New TPUs offer up to 3x faster AI model training and 80% better performance per dollar.
  • Google's cloud will offer Nvidia's Vera Rubin chip later this year.
  • Google and Nvidia are collaborating on Falcon networking software.
  • Analyst Patrick Moorhead's 2016 prediction that TPUs would hurt Nvidia was incorrect.
  • Nvidia's market cap is nearly $5 trillion.
  • Hyperscalers including Amazon, Microsoft, and Google are building their own AI chips.
  • Google's TPUs can cluster over 1 million units.

Entities

Institutions

  • Google Cloud
  • Nvidia
  • Microsoft
  • Amazon
  • Open Compute Project
  • TechCrunch

Sources