Alphabet Inc.’s Google (NASDAQ:GOOG) is expanding its artificial intelligence processor portfolio with two new configurations of its tensor processing units (TPUs), targeting specialised computing requirements as competition with Nvidia (NASDAQ:NVDA) continues to develop.
According to Bloomberg, Google is introducing the TPU 8tx and 8i Max, designed for confidential computing and AI applications requiring the processing of larger amounts of information.
The announcement comes as Nvidia faces an independent investigation concerning reports that Chief Executive Officer Jensen Huang was targeted by a foreign intelligence operation.
The TPU 8tx is designed for confidential computing applications, including potential use by government organisations and businesses operating in regulated industries.
The system incorporates technology from Advanced Micro Devices as part of a collaboration between Google and the semiconductor manufacturer.
Meanwhile, the TPU 8i Max targets AI applications requiring longer context windows, allowing models to process more information when generating responses.
Potential applications include pharmaceutical research, mathematical computing and software development.
Bloomberg reported that neither product uses an entirely new chip architecture. Instead, Google has adapted existing hardware to address specific customer requirements.
Amin Vahdat, Google’s head of chip development, explained the company’s approach.
“This really follows the thesis that we have here at Google, which is that the future is going to be about specialization, and the upsides for specialization continue to be significant,” he told Bloomberg.
Google’s latest additions follow an increase in the pace of its AI processor development.
The company previously introduced new processor generations approximately every two years but has accelerated its development schedule, including the introduction of two generations of specialised processors during 2026.
The expansion reflects demand for computing infrastructure capable of supporting different AI workloads, including inference, automated agents and applications requiring additional memory or security.
Nvidia remains a major supplier of AI accelerators, although companies developing their own processors are introducing alternatives for specific computing requirements.
Separately, Nvidia’s board announced an independent investigation into reports that Jensen Huang had been targeted by a foreign intelligence effort.
The announcement followed reports concerning Huang’s relationship with a business executive whom US authorities reportedly suspected of gathering information for China.
Huang acknowledged marital infidelity in a message to employees and apologised to his family and colleagues.
Nvidia stated that its board had no reason to believe national security information or company secrets had been compromised and reaffirmed its confidence in Huang’s leadership.
The chief executive has agreed to cooperate with the investigation.
Nvidia shares fell 5.70% on Monday following the reports, while Alphabet gained 2.4%.
The contrasting share price movements coincided with Google’s processor announcements and the investigation involving Nvidia’s chief executive.
Google’s additional TPU configurations broaden its range of AI infrastructure products, while Nvidia continues to operate in a market characterised by substantial demand for computing capacity.
The developments highlight ongoing changes in the AI semiconductor industry as manufacturers introduce processors designed for increasingly specialised applications.
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