Google launches two AI chips as it seeks to challenge NVIDIA’s dominance

Chennai Google has expanded its eighth-generation Tensor Processing Unit (TPU) portfolio with two new AI chip systems, stepping up its challenge to NVIDIA’s dominance in AI computing infrastructure. The company unveiled TPU 8tx, designed for secure and confidential AI inference, and TPU 8i Max, built for memory-intensive workloads involving large context windows and increasingly sophisticated AI agents. A TPU is Google’s custom-designed processor that accelerates AI workloads, including training and running large language models, more efficiently than general-purpose chips. The launch is part of Google’s strategy to expand its custom accelerators beyond its own data centres and attract external customers. Its TPU business now has nearly 100 customers, including frontier AI laboratories, trading firms, retailers and universities. A major challenge in competing with NVIDIA is overcoming dependence on its CUDA software ecosystem, which has long given its GPUs a competitive advantage. Google is addressing this through broader software compatibility.