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Alphabet Escalates AI Chip Rivalry With NVIDIA

Alphabet (NASDAQ: GOOGL) has had a difficult few weeks. As MarketBeat reported, shares slid 12.6% in the Oct. 29 session after its third-quarter report, as slowing Search growth and rising capital spending overshadowed an otherwise strong quarter.

The Nov. 5 sell-off in AI and chip stocks added to the pressure.

Then, on Monday, Nov. 9, Alphabet gave investors something different to consider when it unveiled two specialized Tensor Processing Unit (TPU) systems, the TPU 8tx and TPU 8i Max, in a further challenge to NVIDIA (NASDAQ: NVDA). Shares closed slightly higher after the announcement, though the stock still sits about 30% below its 52-week high of $408.61.

The launch strengthens Alphabet’s position as one of the few AI spenders that can also sell its own hardware, but whether that’s enough to offset lingering concerns over Search and spending is a more complicated question.

2 Chips Built for Very Specific Jobs

The two systems join the TPU 8t and TPU 8i that Alphabet’s Google introduced in April, making 2026 the first year the company has rolled out four TPU systems. Both are specialized configurations built around existing eighth-generation chips and will become available next year.

The TPU 8tx is aimed at confidential computing. Paired with an Advanced Micro Devices (NASDAQ: AMD) EPYC processor, it targets government agencies and companies in regulated industries such as finance and healthcare.

The TPU 8i Max combines two TPU 8i chips in a single package, doubling compute and memory bandwidth. It is built for long-context AI applications that need to process far more information per request.

Google pointed to drug discovery, math, and coding as key use cases, adding, “Our aim is to make TPUs more easily accessible to every developer and Cloud customer.”

A Stronger Answer to the Spending Question Than the Search One

The launch arguably does more to ease spending concerns than Search worries. Alphabet’s capital expenditures reached $51.4 billion in the third quarter, outpacing the $42.3 billion of operating cash flow it generated over the same period.

TPUs change the conversation because Google can deploy its proprietary hardware in its own cloud infrastructure or sell complete TPU systems to customers, rather than relying solely on outside suppliers.

Google Cloud brought in $30.7 billion of revenue in the third quarter, roughly double the $15.2 billion it generated a year earlier, with demand for TPU systems a key contributor. Google has also said it builds TPU-system inventory only after securing customer contracts.

Search, on the other hand, is largely untouched by the announcement. Chips do little to close the gap between query growth at a five-year high and the slower ad monetization of AI Mode, the central question hanging over Alphabet’s legacy business.

Sizing the Opportunity Against NVIDIA

NVIDIA still operates on a far larger scale, generating $89 billion in data center revenue in its fiscal 2027 second quarter alone.

Alphabet does not disclose separate TPU revenue or profit figures, making a direct comparison difficult. Still, Google's ability to design and sell complete AI systems gives it another way to generate revenue from its infrastructure investments.

From AI Labs to Trading Firms

Alphabet said on its third-quarter call that it now counts more than 100 significant TPU customers. Anthropic stands out, with arrangements to obtain additional TPU compute from Google or third-party providers, potentially involving $125 billion to $150 billion in future payments for capacity delivered from 2028 through 2031, according to a regulatory filing.

Apple (NASDAQ: AAPL) and Jump Trading are also customers, while Meta Platforms (NASDAQ: META) has collaborated with Google on software that supports TPUs. Oracle (NYSE: ORCL) plans to offer TPUs through Oracle Cloud Infrastructure in 2027, the first time the chips will be available on another major cloud platform. Potential new buyers include the governments, banks, and healthcare providers the 8tx is built for.

Enough to Quiet the Doubters?

The new systems alone are unlikely to settle those fears entirely.

However, they do give bulls a stronger case that Alphabet’s heavy spending is building a vertically integrated AI business rather than simply adding cost.

Skeptics might point out that NVIDIA is still far larger, that OpenAI and Anthropic are both developing their own chips, and that the Search monetization gap is unresolved.

The coming months should offer clearer answers. Management has said it expects TPU system sales to scale in the fourth quarter ahead of a meaningful revenue ramp in 2027, when Oracle's TPU offering is also expected to become available.

If TPU system sales continue to grow while Search monetization improves, the case that shares have been unfairly punished gets considerably stronger.

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