Google has unveiled a new generation of advanced artificial intelligence (AI) chips designed to power next-level computing and digital assistants, as competition intensifies in the global AI industry.
The announcement was made during the company’s annual cloud computing conference held in Las Vegas on Wednesday.
The new chips, known as Tensor Processing Units (TPUs), are the eighth generation of the company’s specialised hardware built to train artificial intelligence models and support emerging “AI agents” — digital assistants capable of carrying out complex tasks with minimal human input.
Chief Executive Officer of Google, Sundar Pichai, said the new technology was designed to meet the increasing demand for powerful AI systems.
“In the era of AI agents, infrastructure needs to evolve to take on the most demanding AI workloads,” Pichai said in a statement.
According to him, the latest generation introduces a dual-chip design, with one processor optimised for training large language models and another focused on inference — the reasoning and decision-making processes used by AI agents.
The company developed the new TPUs in partnership with semiconductor manufacturer Broadcom, with availability expected later this year.
Industry analysts say the move reflects a growing trend among major technology companies to develop their own AI chips rather than rely heavily on external suppliers.
Companies such as Amazon and Microsoft have also introduced custom AI processors in recent months, seeking to reduce dependence on graphics processing units (GPUs) produced by Nvidia, which currently dominates the AI chip market.
Earlier this year, Nvidia announced new GPU models named Vera and Rubin, designed to support high-performance AI computing, while Amazon unveiled its latest Trainium processors to expand its cloud capabilities.
Despite developing in-house chips, major cloud providers — including Google, Amazon, and Microsoft — continue to integrate Nvidia GPUs into their data centres to meet growing demand for AI computing power.
Experts say the introduction of more advanced AI chips is expected to accelerate the development of AI-powered applications across industries, including healthcare, finance, education, and manufacturing.
The rapid pace of innovation highlights the increasing importance of specialised hardware in supporting the global expansion of artificial intelligence technologies.
