As AI models move towards the era of massive “Intelligent Agents,” the bottleneck of data center compute power is gradually shifting towards “connectivity,” triggering a full-blown revolution in underlying infrastructure crossing from copper cables to optical fibers.
On the second day of Computex Taipei, Matt Murphy, Chairman and CEO of Marvell, a leader in AI custom chips, optical communication, and data center interconnection, delivered a keynote speech. NVIDIA CEO Jensen Huang made a surprise appearance as a special guest, and the two leaders at the forefront of AI compute power and network interconnection stood together, bringing the deep strategic partnership between the two companies to the fore. This joint appearance quickly became the highlight of the current exhibition.
After taking his position, Jensen Huang set the tone for the entire event with one sentence: “Ladies and gentlemen, the next trillion dollar company”—referring to none other than Marvell. The audience burst into applause. This was backed by NVIDIA’s announcement months ago of a $2 billion strategic investment in Marvell, highlighting the deep integration of the two companies in the AI data center infrastructure field.
With the release of the previous quarter’s financial report, the market is now highly focused on Marvell’s benefits in the AI supercomputing cycle. In response, Murphy presented a highly anticipated answer: ten years ago, Marvell’s data center business revenue accounted for less than 10%, but in the last quarter, this ratio had exceeded 75% and was accelerating at an annual pace of about 40%. Based on the latest financial guidance, Wall Street generally expects its revenue to reach a staggering $16.4 billion next year.
Behind this surge in performance, Huang Renxun and Murphy revealed in their discussion the most crucial investment theme in AI infrastructure—after the bottlenecks of computing power and memory were successively broken through, “connectivity” will define the ultimate performance of the system. The two CEOs’ core consensus is that the next decisive battlefield of AI infrastructure is not computing power, not memory, but connectivity. It is worth noting that Marvell’s stock price surged more than 16% in after-hours trading.
In his speech, Murphy explained why “connectivity” has become the most crucial constraint today. The bottlenecks of AI infrastructure have appeared successively and been overcome in turn—computing power (led by NVIDIA, becoming the world’s first company with a market value of $5 trillion) → memory (the memory sector has recently seen the emergence of three new trillion-dollar market cap companies) → connectivity (currently happening).
“The world’s top hyperscale cloud service providers are redesigning their overall network architecture, realizing that the expansion of AI infrastructure has become the primary connectivity challenge,” Murphy said. Huang Renxun added that AI is now moving towards an “Agent” model, which requires breaking down tasks and deploying them in distributed fashion across huge computing clusters. “When you break down a computing problem into multiple parts and distribute it across the entire data center, the most crucial thing is connectivity.”
One of the most market-referenced segments of the conversation was their assessment of the transition timeline from copper cables to optical fibers. Huang Renxun’s strategy framework was straightforward: “You use copper wherever you can, you use optics wherever you must.” He explained that copper cables have physical limits in terms of bandwidth and transmission distance. In the next 5 to 10 years, the industry will still use a large amount of copper cables, while also deploying a massive number of optical devices.
Murphy explained the physical law behind this: the transmission distance of copper cables is inversely proportional to the bandwidth. The current fastest commercially available system has a single-channel speed of 200 Gbps, corresponding to a copper cable length of about 2.5 meters. When the industry upgrades to 400 Gbps, copper cables will no longer be able to connect the entire rack. To address this, Marvell is doubling down on CPO (Co-Packaged Optics) technology, solving density and power consumption challenges by directly integrating optical fibers into the package.
To meet the extremely complex network architecture requirements, the collaboration between NVIDIA and Marvell is expanding across multiple dimensions such as optical communication, silicon photonics, and NV Link Fusion. Murphy emphasized Marvell’s neutral and critical position: “We collaborate deeply with compute companies and storage companies. In many ways, we are like the industry’s ‘Switzerland,’ maintaining partnerships with all companies.”
[Wall Street News]
Connectivity as the New Frontier: Implications for Crypto Investors in the AI Infrastructure Evolution
The recent joint appearance of NVIDIA’s Jensen Huang and Marvell’s Matt Murphy at Computex Taipei, where Huang declared Marvell “the next trillion dollar company,” signals a pivotal shift in the AI infrastructure landscape. With NVIDIA’s $2 billion strategic investment and Marvell’s data center revenue exploding from less than 10% to over 75% of total revenue in a decade, the market is awakening to a critical realization: the next AI battlefield isn’t about raw compute power—it’s about connectivity.
The Connectivity Revolution and Market Implications
The consensus between these industry titans—that connectivity now defines ultimate AI system performance—represents a fundamental reordering of priorities in the AI value chain. As AI models evolve toward massive “Intelligent Agents” requiring distributed computing across vast clusters, the ability to efficiently connect these components becomes paramount. This shift creates significant market opportunities that crypto investors should carefully analyze.
Marvell’s projected $16.4 billion in revenue next year, combined with its 40% annual growth rate in data center solutions, demonstrates the economic magnitude of this transition. The company’s focus on Co-Packaged Optics (CPO) technology addresses the physical limitations of copper cables, which become impractical beyond 2.5 meters at 200 Gbps and completely inadequate at 400 Gbps speeds. This technological inflection point will drive substantial capital expenditures across the industry.
Crypto Market Opportunities and Token Implications
For crypto investors, this connectivity revolution presents several strategic opportunities:
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AI-focused DePIN Projects: Decentralized Physical Infrastructure Networks that provide optical connectivity or data center capacity could benefit from the increased focus on connectivity solutions. Projects that can demonstrate comparable performance to traditional providers while offering decentralized advantages may see significant token appreciation.
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Cross-Chain Communication Protocols: As AI systems become increasingly distributed, the need for efficient data transfer between different blockchain networks grows. Projects focusing on interoperability and cross-chain messaging could experience heightened demand as AI applications become more complex and distributed.
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Tokenized Data Centers: The capital-intensive nature of building next-generation connectivity infrastructure creates opportunities for tokenization models that allow fractional ownership and democratized investment in these critical assets.
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Energy-Efficient Computing Solutions: With connectivity emerging as a power consumption bottleneck, crypto projects focused on energy-efficient computing could gain traction, particularly those that can demonstrate clear advantages over traditional solutions.
Risks and Competitive Challenges
Despite these opportunities, crypto investors must navigate significant risks:
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Market Concentration: The deep integration between NVIDIA and Marvell creates formidable competition for crypto-native solutions. With established players controlling both compute and connectivity layers, blockchain-based alternatives will need to demonstrate clear advantages beyond decentralization.
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Technology Adoption Hurdles: The physical limitations driving the copper-to-optical transition create high barriers to entry. Crypto projects in this space must overcome not only technological challenges but also the entrenched relationships between hyperscale providers and established infrastructure companies.
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Regulatory Scrutiny: As traditional tech companies expand their dominance in AI infrastructure, regulatory pressure on crypto projects in similar spaces may intensify, particularly regarding data privacy and cross-border data flows.
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Valuation Disparities: With Marvell’s market capitalization surroring 16% in after-hours trading on this news, traditional infrastructure companies are commanding significant valuations. Crypto projects will need to demonstrate comparable revenue potential or unique value propositions to justify valuations.
Strategic Investment Considerations
For experienced crypto investors, this market shift suggests a nuanced approach:
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Focus on Complementary Technologies: Rather than competing directly with established players in core connectivity, consider crypto projects that address adjacent challenges such as decentralized AI model training, verification of AI computations, or marketplace mechanisms for trading compute and connectivity resources.
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Monitor Adoption Cycles: The copper-to-optical transition is expected to unfold over 5-10 years, creating multi-year investment opportunities. Projects positioned to benefit from intermediate solutions could offer more immediate returns than those targeting complete infrastructure replacement.
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Evaluate Partnerships: Crypto projects that establish partnerships with traditional infrastructure providers may have better chances of adoption than those attempting to build entirely parallel ecosystems.
The strategic alignment between NVIDIA and Marvell underscores a critical lesson for crypto investors: while decentralization offers compelling advantages, successful integration with existing infrastructure ecosystems may be more practical than complete replacement. As Huang noted, “You use copper wherever you can, you use optics wherever you must”—a pragmatic approach that crypto projects would be wise to emulate when engaging with the evolving AI infrastructure landscape.