By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
The panel is divided on Nvidia's CPU push, with concerns about integration friction, regulatory scrutiny, and ecosystem resistance, but also seeing potential in expanded TAM and AI ecosystem expansion.
Risk: Regulatory backlash due to CUDA lock-in and delayed ARM pivot due to hyperscaler pushback and porting costs
Opportunity: Expanding the AI ecosystem beyond GPUs into servers and PCs, potentially increasing the total addressable market
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Nvidia seems to have made a solid start in the central processing unit (CPU) market.
The company anticipates strong revenue from sales of its server CPUs this year and has announced that it is moving into the client CPU market as well.
The share of Arm-based CPUs that Nvidia is designing is poised to grow remarkably in the coming years, and that doesn't bode well for Intel and AMD.
Nvidia (NASDAQ: NVDA) has been the top player in the artificial intelligence (AI) chip market over the years, thanks to its expertise in designing graphics processing units (GPUs).
These chips are ideal for processing huge amounts of data quickly. The massive parallel processing power of GPUs enables them to perform thousands of tasks simultaneously. As a result, GPUs have been widely used in gaming personal computers (PCs), content creation, AI, and machine learning. Nvidia has dominated the gaming GPU market for several years now, giving rivals Advanced Micro Devices (NASDAQ: AMD) and Intel (NASDAQ: INTC) very little room to grow in this space.
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In fact, Nvidia controlled a whopping 95% of the gaming GPU market at the end of 2025, according to Jon Peddie Research, leaving the rest for AMD. Nvidia has carried its PC GPU dominance into data centers as well. It is the go-to chip designer for hyperscalers and AI companies looking to train large language models (LLMs) that require massive datasets and need to perform a huge number of calculations simultaneously.
However, as AI moves from training to inference, Nvidia has now set its sights on the central processing unit (CPU) market as well. This doesn't bode well for AMD and Intel. Let's look at the reasons why.
CPUs aren't as powerful as GPUs, as they have a significantly lower core count for performing calculations and carrying out tasks. Moreover, CPUs perform tasks sequentially, which is why they haven't been preferred for training AI models. But the high clock speeds of the fewer cores used in CPUs mean that they can perform individual tasks quickly.
That's why CPUs are now finding relevance in AI inference, a process that requires far less computing power than the training phase, since it involves substantially fewer calculations. As a result, AMD and Intel have been witnessing a solid uptick in demand for their server CPUs. Additionally, CPU demand is poised to improve significantly due to the growing adoption of edge AI devices, such as PCs, which can process AI workloads locally.
According to AMD, the server CPU market could grow at an annual pace of 35% through 2030, generating $120 billion in revenue by the end of the decade. Meanwhile, the generative AI PC market is anticipated to grow from an estimated $91 billion this year to $260 billion in 2031, according to a third-party research report available on Markets and Markets.
AMD and Intel are the biggest companies that sell server and client CPUs (used in PCs and laptops). AMD controlled just under 30% of the client CPU market in the first quarter of 2026, with Intel accounting for the rest. Meanwhile, Intel controlled just over two-thirds of the server CPU market at the end of Q1. Nvidia is now looking to dent their dominance.
The GPU specialist revealed last month that its Vera server CPU is already in strong demand and is poised to drive $20 billion in revenue for the company in the current fiscal year. Nvidia sees a $200 billion addressable market for its Vera server CPUs over the long term, suggesting a much larger opportunity.
And now, Nvidia has doubled down on its CPU efforts by launching the RTX Spark Superchip for laptops and PCs running on the Windows operating system. Nvidia points out that Spark will allow users to build AI applications and agents, play games, and create content, all while promising an all-day battery life. What's more, Nvidia points out that the Spark Superchip will power PCs from Asus, Dell Technologies, Lenovo, MSI, Microsoft, and HP.
Importantly, Yahoo! Finance notes that Nvidia is reportedly working with game studios to ensure that games are compatible with the RTX Spark Superchip. The PC OEMs (original equipment manufacturers) partnering with Nvidia will launch laptops powered by this chip in the fall this year. So, it won't be long before Nvidia dives into a market that has been the hunting ground of AMD and Intel so far.
AMD and Intel's CPUs are based on the x86 architecture. However, processors designed using Arm Holdings' architecture have been gaining solid traction. Next Move Strategy Consulting reports that the market for Arm-based PC processors could be valued at $52.6 billion in 2030 as compared to $9.2 billion in 2023, clocking a compound annual growth rate of 28%.
Nvidia's RTX Spark Superchip consists of a Grace CPU, designed using Arm's architecture. Meanwhile, the company's Vera CPU is also Arm-based. It is worth noting that the share of Arm-based CPUs and custom processors in servers is expected to jump to a whopping 90% by 2029, according to Counterpoint Research.
For comparison, Arm-based CPUs accounted for almost 18% of the server CPU market in the first quarter of 2026, according to UBS, up from 11.5% in the year-ago period. That was higher than the increase of 3.3 percentage points in AMD's share. Intel had a forgettable Q1, with its share dropping by 9.5 percentage points from the year-ago period.
So, Nvidia could eventually make solid progress in the CPU market going forward, driven by the growing preference for processors designed using Arm's technology. This should complement the phenomenal growth that the company is experiencing in the data center GPU market, putting Nvidia stock on track to significantly increase its market cap from current levels in the next three years.
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Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, HP, Intel, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"Nvidia's aggressive push into Arm-based CPUs creates a structural revenue headwind for Intel that is not yet fully priced into the current x86-dependent valuation."
Nvidia’s pivot into CPUs via Arm architecture is a direct existential threat to Intel’s x86 hegemony, but the market is underestimating the integration friction. While $20 billion in projected server CPU revenue is impressive, Nvidia’s transition from a 'component provider' to a 'platform architect' invites regulatory scrutiny and ecosystem resistance. Intel’s foundry business is a massive, albeit struggling, hedge that Nvidia lacks. If Nvidia’s proprietary software stack forces lock-in, they may face an antitrust backlash that stalls momentum. Investors should watch the 'Vera' and 'Spark' adoption rates among hyperscalers closely; if they fail to displace x86 in legacy enterprise environments, the valuation premium on NVDA will compress rapidly.
Nvidia may struggle to replicate its GPU software moat in the CPU market, as x86 compatibility remains the bedrock of global enterprise IT infrastructure, making a wholesale shift to Arm-based chips significantly slower than projected.
"Nvidia's CPU ambitions are real but priced as if execution is certain—the article ignores margin compression, manufacturing scale-up risk, and the fact that x86 dominance in client PCs remains largely unchallenged despite Arm hype."
The article conflates market-share growth with profitability and execution risk. Yes, Arm-based CPUs are gaining share—but from 18% to a projected 90% server penetration by 2029 is a 72-point swing that assumes Nvidia flawlessly scales manufacturing, secures OEM adoption, and overcomes entrenched x86 software ecosystems. The $20B Vera revenue claim for FY2026 needs verification; if it materializes, that's ~2% of Nvidia's current market cap in one product line. But the article ignores: (1) gross margins on CPUs historically run 40-50% vs. 70%+ on GPUs, (2) Nvidia has zero track record in client CPU volume production, and (3) Intel and AMD aren't static—both are shipping competitive Arm designs and have massive x86 installed bases.
Nvidia's CPU push could cannibalize its own GPU margins while failing to gain meaningful share against AMD and Intel's entrenched supply chains, software compatibility, and customer relationships. The 90% Arm projection is speculative analyst commentary, not a market guarantee.
"Arm CPU adoption faces x86 ecosystem barriers the article glosses over, muting near-term damage to AMD and Intel."
Nvidia's Vera CPU revenue target of $20B this year and RTX Spark client push target Arm's projected server share jump to 90% by 2029, directly pressuring Intel's two-thirds server dominance and AMD's ~30% client share. Yet the article downplays that Windows x86 software compatibility remains a major friction point for client Arm adoption, with PC launches not until fall. Server inference workloads may favor GPUs anyway, limiting CPU displacement. AMD's $120B server CPU TAM forecast through 2030 could still hold if custom silicon stays niche.
Nvidia's GPU bundling power and hyperscaler relationships could force rapid Arm certification and software porting, eroding x86 share faster than the 28% CAGR projected for Arm PCs.
"Nvidia’s Arm-based CPU expansion could unlock a sizable long-term TAM if execution and software/ecosystem support materialize, potentially reshaping the stock’s valuation."
NVDA's CPU push—Grace/Verá Arm-based CPUs and the Spark laptop chip—could extend the AI ecosystem beyond GPUs into servers and PCs, potentially expanding the TAM well above current levels. The Vera server CPU revenue target of about $20B this fiscal year and a long-run $200B addressable market imply meaningful upside if enterprise adoption and developer tooling align. Yet the piece overplays certainty: the CPU business is nascent, Arm licensing and software ecosystems matter, and margins on CPUs tend to be thinner than GPUs. Competitive pressure from AMD/Intel persists, and a 90% Arm-server share by 2029 sounds optimistic vs UBS’s near-term 18% baseline.
Nvidia's CPU bet is unproven at scale, and the claim of 90% Arm-server share by 2029 is highly unlikely given incumbents' ecosystem lock-in. If software, timing, or OEM adoption falters, the CPU business could remain a smaller, lower-margin growth engine.
"Nvidia's CPU push is a strategic play for vertical system lock-in, rendering traditional CPU margin analysis secondary to aggregate ecosystem dominance."
Claude, you’re missing the 'Nvidia-as-a-Service' trap. The real risk isn't just CPU margins; it’s that Nvidia is forcing hyperscalers into a vertically integrated stack where the CPU is merely a 'glue' component to keep GPUs fed. This isn't about competing with Intel on x86 performance; it's about making the CPU irrelevant by locking customers into CUDA. If the software moat holds, CPU margins won't matter because the aggregate system-level pricing power will remain untouchable.
"Vertical integration into CPUs gives Nvidia pricing power over competitors but pricing pressure from customers—a distinction that matters for margin trajectory."
Gemini's 'glue component' framing inverts the actual risk. If CPUs become commoditized within Nvidia's stack, that's margin compression, not pricing power. Hyperscalers will demand CPU cost leadership precisely because they're locked into CUDA—they'll pit Nvidia against itself. The real trap: Nvidia cannibalizes its own CPU ASP (average selling price) to maintain GPU attachment. That's not moat; that's margin erosion disguised as ecosystem control.
"CUDA stickiness prevents hyperscalers from forcing CPU margin compression as Claude suggests."
Claude's margin erosion scenario assumes hyperscalers retain switching power, yet CUDA's dominance in AI workloads creates stickiness that limits their ability to commoditize the CPU. Nvidia could bundle pricing across GPU-CPU systems without ASP pressure if porting remains costly. This connection between software moat and hardware pricing deserves more scrutiny than the commodity trap framing allows.
"CUDA lock-in could invite antitrust scrutiny and interoperability requirements that slow CPU adoption, not just squeeze CPU margins, risking a delayed ARM pivot."
Gemini’s 'Nvidia-as-a-Service' angle misses a regulatory and ecosystem risk. CUDA lock-in could invite antitrust scrutiny and interoperability requirements that slow CPU adoption, not just squeeze CPU margins. The bigger risk is a delayed ARM pivot, as hyperscalers push back on closed stacks, porting costs rise, and OEMs demand cost leadership. If true, the bear case isn’t margin erosion alone but a material hurdle to Nvidia’s growth trajectory.
The panel is divided on Nvidia's CPU push, with concerns about integration friction, regulatory scrutiny, and ecosystem resistance, but also seeing potential in expanded TAM and AI ecosystem expansion.
Expanding the AI ecosystem beyond GPUs into servers and PCs, potentially increasing the total addressable market
Regulatory backlash due to CUDA lock-in and delayed ARM pivot due to hyperscaler pushback and porting costs