Google has announced the launch of two new Tensor Processing Units (TPUs) aimed at strengthening its artificial intelligence capabilities and reducing reliance on chips produced by other companies, particularly Nvidia.
The new processors, named TPU 8tx and TPU 8i Max, belong to the eighth generation of AI chips developed by the company for training and operating advanced models.
The TPU 8tx features advanced data protection capabilities. It provides a secure environment for training and operating AI models while maintaining the confidentiality of sensitive information and isolating it during processing. This makes it suitable for businesses and organizations that handle private data. Additionally, the processor allows for simultaneous training and inference operations, which enhances model development efficiency and accelerates operational processes.
The TPU 8i Max is designed to handle large workloads and extensive models. It offers higher memory capacity and computational power, enabling the processing of larger volumes of data and information simultaneously.
The launch of these new processors occurs amid fierce competition among major global technology companies to develop specialized AI chips. This competition aims to enhance control over digital infrastructure, reduce costs, and improve performance. Google, alongside companies like Microsoft and Amazon, seeks to develop its own processors to lessen dependence on Nvidia chips, which continue to dominate a significant portion of the global AI market.
This trend reflects the rising competition in the AI sector, where companies now compete not only in developing models and applications but also in chips and computing infrastructure that form the foundation for operating these advanced technologies.
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