Innovating sustainably: recognized among the World's Most Sustainable Companies in 2026. By Vienna Alexander, Marketing Content Professional, Marvell TIME Magazine has recognized Marvell as one of the World's Most Sustainable Companies for the third year in a row. Marvell is honored to have been represented since the origin of this ranking, as the company has demonstrated consistent, measurable progress across a number of sustainability initiatives. To be recognized among the world's most sustainable companies, Marvell was evaluated alongside more than 5,000 companies by TIME and Statista, with only the top 15% (750 companies) earning a place on the list. From the ranking's inception in 2024, Marvell has consistently placed in the top half of recognized companies. In the most recent ranking, Marvell advanced into the top 5% globally, reflecting significant progress across key sustainability initiatives. This achievement highlights several important accomplishments: * Earn external recognition for sustainability leadership: Receive honors including a CDP Supplier Engagement Leader A-List designation, an MSCI ESG Rating of AA, top ESG Sustainalytics ratings for transparent sustainability performance, and recognition as one of the World's Most Ethical Companies. * Achieve science-based targets: Through sourcing 97% of global electricity from renewable energy and other methods, reduced Scope 1 and Scope 2 emissions by 86% from a FY22 baseline - six years ahead of schedule. * Advance sustainable product innovation: By FY30, reduce Scope 3 GHG emissions from use of sold products by 55% per petabyte per second from a FY22 baseline through product power innovation and efficiency. "I'm proud that Marvell has been recognized as one of the World's Most Sustainable Companies of 2026," says Senior Sustainability Lead Alua Suleimenova. "This recognition reflects the collective efforts of numerous teams across the company to embed sustainability into how we operate, innovate, and grow, from responsible supply chains to energy-efficient products and greater transparency in reporting." This blog contains forward-looking statements within the meaning of the federal securities laws that involve risks and uncertainties. Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate or imply future events or achievements. Actual events or results may differ materially from those contemplated in this blog. Forward-looking statements are only predictions and are subject to risks, uncertainties and assumptions that are difficult to predict, including those described in the "Risk Factors" section of its Annual Reports on Form 10-K, Quarterly Reports on Form 10-Q and other documents filed by Marvell Technology from time to time with the SEC. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and no person assumes any obligation to update or revise any such forward-looking statements, whether as a result of new information, future events or otherwise.

Nvidia CEO just crowned the "next trillion-dollar" Chip stock and it went up 33%. Nvidia CEO Jensen Huang called Marvell Technology the next trillion-dollar company at Computex on June 2. Marvell shares jumped about 33% in a single session, their biggest one-day gain on record. The move added roughly $56 billion in market value, pushing Marvell above $250 billion. The endorsement landed as investor Michael Burry warned that Nvidia itself faces concentrated demand and hidden financing risk across the AI buildout. What Jensen Huang said about Marvell. Huang made a surprise appearance during Marvell CEO Matt Murphy's keynote in Taipei, spending about 10 minutes on stage. He praised Marvell's networking and connectivity chips as essential to data centers, where AI workloads run across thousands of linked processors that must share data quickly. The remark followed Nvidia's roughly $2 billion equity investment in Marvell, which tied the firm's custom accelerators and optical networking to Nvidia's AI factory architecture. Why the Marvell bull case holds. Bulls argue connectivity is the next bottleneck in AI systems after raw compute and memory. Marvell builds the switches, optics, and custom silicon that link those clusters, and data center products now drive most of its revenue. Skeptics counter that Marvell trades at a steep valuation. It also faces strong competition from Broadcom in networking silicon. "...the next trillion-dollar company," CNBC reported, citing Jensen Huang. A single endorsement rarely changes fundamentals, yet Huang's words carry weight with traders. Analysts have also stayed broadly bullish on Nvidia, reflecting confidence in the wider AI trade. Michael Burry's warning on Nvidia. Michael Burry, known for his role in The Big Short, has taken the other side of the AI story. His firm, Scion Asset Management, bought put options (short orders) on one million Nvidia shares. Burry flagged Nvidia's customer concentration as a core risk. He said the top three customers now account for 64% of Nvidia's accounts receivable, up from 56% the prior quarter and about 33% in 2020. He also described much of today's spending as a temporary benchmarking phase he calls a tokenmaxxing bubble. In his view, that demand looks permanent now, but could fade. "The conditions for an aggressive fall are as strong as they have been in the history of the stock," Burry stated. Burry's caution echoes other warnings he has issued about a wider market bubble. He has recently been shorting chip stocks as well. His thesis points to leveraging hidden across the system. A Moody's report in February found that Microsoft, Amazon, Alphabet, Meta, and Oracle have $662 billion in future data center lease commitments that are not yet reflected on their balance sheets. That figure equals roughly 113% of the five companies' adjusted debt, according to Moody's. The obligations become real cash costs once the leases begin. Other signals have added to the caution. Reports of falling H200 rental prices have raised questions about near-term GPU demand. Read the full article here

Analog Devices buys Empower Semiconductor for $1.5B. 5:52 6 min SAN JOSE, California: Analog Devices said on May 19, 2026, that it will acquire Empower Semiconductor for roughly $1.5 billion in an all-cash transaction, expanding its push into the chips that feed AI accelerators. The deal was disclosed in an 8-K filing with the Securities and Exchange Commission and a joint press release from the two companies. Both boards have approved the deal, which is expected to close in the second half of calendar 2026 subject to Hart-Scott-Rodino antitrust review. Empower, based in Silicon Valley, builds integrated voltage regulators, known as IVRs, and silicon capacitors. Those chips sit physically next to GPUs and AI accelerators and handle the last stage of power delivery, converting and routing energy at the point of consumption. ADI is folding the technology into what it calls a grid-to-core power platform, a portfolio meant to cover everything from utility-scale conversion at the data center fence to power management on the silicon die itself. Why ADI is paying for power delivery. The acquisition is ADI's largest move into AI infrastructure to date and reflects a shift in where chipmakers see scarcity. Through 2024 and 2025, hyperscalers and the Magnificent Seven competed primarily on GPU supply. By early 2026, the binding constraint had moved downstream. Power density, not raw wattage, became the limit on how much compute can be packed into a single rack. "AI infrastructure is fundamentally reshaping how power must be delivered, with energy now the most persistent constraint to scaling next-generation systems," ADI chair and chief executive Vincent Roche said in the company's announcement. Roche framed the deal as a way to help customers "rearchitect their power systems and achieve the compute densities next-generation AI demands," and noted the technology applies "well beyond AI data centers to any domain where energy constrains what is possible." Empower has been moving in that direction commercially. Earlier this year the company announced a collaboration with Marvell Technology to develop integrated power solutions for Marvell's custom silicon platforms, the kind of accelerator chip that hyperscalers are designing in-house for AI workloads. Empower's flagship Crescendo IVR series is engineered to be roughly five times smaller than traditional board-level designs, with faster transient response and higher efficiency, according to Empower's product documentation. What does the ADI Empower acquisition mean for AI infrastructure? The deal signals that AI capital is now flowing downstream from GPUs into the picks-and-shovels layer beneath them. Power delivery, cooling, and on-die conversion are emerging as the new bottlenecks for hyperscalers, and ADI is paying a premium to own that layer rather than license it. Founders in adjacent categories should expect more strategic M&A on the power-electronics side over the next 12 months. Empower chief executive Tim Phillips described the company's mission as solving "the hardest problem in AI power delivery." That framing now becomes ADI's positioning. The combined entity will own intellectual property across the full power path, which matters because hyperscalers increasingly buy power architecture as a system, not as discrete components. Marvell, Nvidia, and the in-house silicon teams at Amazon, Google, and Microsoft each design their accelerators around assumptions about how power will reach the die. ADI is now selling into that conversation with a single integrated stack. The financial structure also says something about ADI's confidence. An all-cash $1.5 billion deal from a company with a market capitalization north of $110 billion is not a financing stretch, but it is a clear capital allocation choice. ADI is funding it from cash on hand rather than issuing stock, which suggests management views Empower's pipeline as a near-term contributor to revenue rather than a speculative bet. What founders should watch next. The first signal to track is regulatory. The Hart-Scott-Rodino waiting period will run through the summer, and antitrust enforcement of vertical chip acquisitions has tightened since the Justice Department's review of recent semiconductor deals. ADI's filing language emphasizes "customary closing conditions," but a second request from the Federal Trade Commission would push the close into late 2026 or early 2027. The second signal is competitive response. Texas Instruments, Infineon, and STMicroelectronics all compete with ADI in power-management chips and have not yet made a comparable bet on integrated voltage regulators. Whether any of them moves on Empower's smaller competitors, including Vicor and ferroelectric-capacitor specialists, will indicate how quickly the rest of the power-electronics market follows ADI into AI-specific architectures. The third signal is adjacent. ADI's deal lands two weeks after Cowboy Space raised $275 million to build orbital data centers and one week after Kevin O'Leary's nine-gigawatt Stratos project drew renewed scrutiny. Each of those bets reflects the same underlying thesis. The AI buildout has shifted from "we need more chips" to "we need to get power to the chips we already have." Expect the M&A flow, the venture capital, and the policy attention to track that shift over the rest of 2026.