Google and MediaTek Forge a New Path with ‘Triggerfish’ TPU Chip

Google is deepening its reliance on MediaTek to power the next generation of AI agents, signaling a strategic pivot in its hardware supply chain.

The race for artificial intelligence dominance is shifting from software algorithms to the cold, hard silicon that powers them. Industry analyst Guo Mingchi has revealed a significant development in Google’s hardware roadmap: the tech giant is moving forward with an upgraded version of its Tensor Processing Unit (TPU) v9, codenamed "Triggerfish." Unlike the standard "Humufish" version, this specialized chip is engineered specifically to handle the heavy lifting required for AI agents and complex reinforcement learning.

MediaTek has secured the exclusive order for this high-value component, marking a major elevation in its partnership with Google. While the Taiwanese firm has previously contributed to Google’s TPU ecosystem—mostly through input/output solutions—this deal hands them the reins to a core piece of Google's AI infrastructure. For MediaTek, which has been steadily climbing the value chain, this contract is expected to be a significant growth engine by 2028.

Under the Hood: What Makes Triggerfish Different?

The technical upgrades in the Triggerfish are designed to shatter current performance bottlenecks. The chip features a massive leap in on-board memory, with SRAM capacity expanding two to three times over the base v9 model. By integrating HBM4E memory and a new simulation die, Google is effectively creating a specialized engine that keeps data moving faster, minimizing the slowdowns that typically plague complex AI computations.

The economics of this partnership are just as notable as the engineering. Industry reports suggest that the Triggerfish chip carries a 30% price premium over the standard TPU v9, reflecting the complexity of its design. While the base Humufish model remains the workhorse with an expected 4 to 5 million units, Google is layering on an additional 1 to 2 million units of the Triggerfish to handle its most intensive workloads.

Why it Matters: The Bigger Picture

This move is about more than just a new chip; it’s a calculated effort by Google to de-risk its supply chain and challenge the status quo. By diversifying its partnerships across players like Broadcom, Intel, and Marvell, while deepening its ties with MediaTek, Google is methodically building a hardware moat. In an industry currently obsessed with Nvidia’s GPU dominance, Google is betting that specialized, in-house silicon will offer the cost-efficiency and performance edge needed to win the era of autonomous AI agents.

Investors are watching these shifts closely as they ripple through the stocks market, impacting sentiment around the broader semiconductor ecosystem. While market fluctuations often lead to short-term reactions in the google share price, the long-term play here is clear: Google is no longer content to rely on general-purpose hardware. They are moving toward a custom-built infrastructure designed to ensure they don't just participate in the AI race, but dictate its pace.

Production is slated to begin in late 2027, with the real impact of these chips expected to hit the market in 2028. As the lines between software capability and hardware capacity blur, this collaboration between a search giant and a chip designer will likely serve as a blueprint for how tech titans survive the next decade of computing.