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Luke Kawa8/21/25

HP Enterprise jumps on upgrade to “buy” from Morgan Stanley

Shares of HP Enterprise are up nearly 3% as of 10:10 a.m. ET, the second-best-performing stock in the S&P 500, after the server and networking company got a fresh vote of confidence from Wall Street.

Morgan Stanley analyst Erik Woodring, who took over coverage of HPE starting with this report, raised the stock to “overweight” (or buy) from “neutral” and hiked the price target to $28 from $22.

He’s optimistic on the company’s short-term results, and has a higher opinion than peers on how much HPE’s acquisition of Juniper Networks will bolster its networking business and offset any softness in the traditional server segment.

For enterprise hardware companies, “the July quarter setup is most favorable for overweight-rated HPE, as the stock remains the cheapest of the group (at 8.5x times our fiscal year 2026 EPS), AI expectations are low, and management should guide October quarter results decently ahead of consensus, which is yet to incorporate the Juniper Networks acquisition,” Woodring wrote. “As the market comes to better understand nearly half of HPE’s business is networking, inclusive of more AI exposure (Juniper in xAI cluster), HPE’s multiple will re-rate above the current 8x multiple.”

HP Enterprise is slated to release quarterly results on September 3.

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Google jumps, Nvidia and AMD fall on report that the search giant is in talks to sell “billions of dollars” of its custom AI chips to Meta

Google jumped in after-hours trading while Nvidia and Advanced Micro Devices dropped on the heels of a report from The Information that has the search giant muscling in on the chip designers’ turf.

Per the report, Meta is in discussions with Google to spend “billions of dollars” to use its AI chips in the social media company’s data centers starting in 2027, and to begin renting access to Google chips from its cloud business next year.

Historically, Google has rented access to these chips through its cloud business rather than supply them directly to third parties. The report suggests that insiders believe a more direct foray could allow the company to grab a market share in chips amounting to about 10% of Nvidia’s annual revenue.

Google’s AI chips — TPUs, or tensor processing units — are having a moment. These semiconductors were used to train its latest genAI model, Gemini 3, which has received rave reviews, and are cheaper to use than Nvidia’s offerings. That’s sent the stock to record highs, surpassing Microsoft in market value along the way.

According to The Information, Meta is even mulling using TPUs for training, considered a much more demanding task, rather than just inference alone.

Shares of Nvidia and AMD, which sell GPUs for use in data centers, fell about 2% in postmarket trading, while Google gained around 2%.

During Nvidia’s conference call last week, CEO Jensen Huang was asked about the competitive threat posed by custom chips. He responded by talking up the difficulty of inference (“How could thinking be easy?”). That’s a not-too-subtle nod to the idea that his company’s GPUs will be the more effective solution compared to more cost-effective options. He also touted the company’s CUDA software as a selling point, because it’s more commonly used and therefore makes it easier for its buyers to go on and sell AI computing capacity.

Google has aimed to make its JAX software easier for developers over time by making its TPUs operable via open-source software tied to PyTorch (invented by Meta), overhauling how errors are reported, and introducing an extension that makes it easier to write custom code, among others.

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