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<p>Google has introduced dedicated chips for AI training and inference, aiming to compete with Nvidia. The eighth generation of its tensor processing unit (TPU) will feature separate processors for these tasks, enhancing performance significantly. The training chip boasts 2.8 times the performance of its predecessor, while the inference processor shows an 80% improvement. Both chips will be available later this year, with a focus on maximizing efficiency for AI applications. Adoption of Google's TPUs is increasing, with major clients including Citadel Securities and the U.S. Energy Department's national laboratories.</p>

- Google is launching separate processors for AI training and inference with its eighth generation of tensor processing units (TPUs) to compete with Nvidia.  
- The new chips are expected to deliver significant performance improvements over the previous generation and will utilize SRAM technology for enhanced efficiency.  
- Adoption of Google's AI chips is increasing, with major organizations like Citadel Securities and the U.S. Energy Department utilizing them for advanced AI tasks.

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Google unveils chips for AI training and inference in latest shot at Nvidia

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