# CPU Related Articles

HTX News Center provides the latest articles and in-depth analysis on "CPU", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

ARM's Stock Price Soars 30% Against the Trend, Is ARM, Now Making AI Chips, Winning Big?

ARM's stock surged over 15% on May 21, 2026, reaching a record high of $259, driven by its strategic pivot beyond its traditional IP licensing business. For over three decades, ARM has profited by licensing chip designs to companies like Apple and Qualcomm, earning mere cents per chip. However, with the mobile market maturing, growth stalled. In March 2026, ARM announced a historic shift: it would design and sell its own finished chips for the first time. Its "AGI CPU," built for AI data centers, targets the growing computational needs of AI Agents—tasks like workflow orchestration and data preprocessing where CPUs are crucial. This move positions ARM directly in the high-value server CPU market, competing with some of its own licensees. Analysts believe the rise of Agentic AI will dramatically increase demand for data center CPUs. Bernstein set a $300 price target, forecasting ARM's annual revenue could reach $26 billion by 2030 as the server CPU market expands. Major customers like Meta and OpenAI have already signed on for the AGI CPU, with committed demand reportedly doubling to over $2 billion within six weeks of launch. While this transformation offers massive upside, risks remain. ARM's valuation is extremely high (P/E ~300), pricing in future success. The company must also navigate potential conflicts with existing partners and execute flawless chip manufacturing. Nevertheless, Wall Street is betting that ARM's move from a "tax collector" to an AI infrastructure provider could redefine its growth trajectory for the AI era.

marsbit21h ago

ARM's Stock Price Soars 30% Against the Trend, Is ARM, Now Making AI Chips, Winning Big?

marsbit21h ago

AI Defeated Intel, and AI Saved Intel

Intel, once the dominant force in semiconductors with its CPUs powering the PC era, faced a severe crisis by 2024. Its stock plummeted 60% that year, culminating in its removal from the Dow Jones Industrial Average, replaced by NVIDIA—a shift symbolizing the transition from CPU to GPU dominance in the AI training era. Intel’s decline was driven by missed opportunities in mobile and AI, exacerbated by strategic missteps under multiple CEOs. In 2025, new CEO Lip-Bu Tan took over, implementing a turnaround strategy: drastic cost-cutting, refocusing on core areas like Xeon server CPUs and foundry services, and forging key partnerships. NVIDIA invested $5 billion in Intel, Google expanded orders for Xeon processors, and Elon Musk integrated Intel into his Terafab project. These moves, coupled with the AI industry’s shift from training to inference, revitalized demand for CPUs, which are critical for task orchestration in agent-based workloads. By Q1 2026, Intel’s revenue grew 7% year-over-year, with non-GAAP net income surging 156%. However, challenges remain, including ongoing losses and the need to scale advanced manufacturing processes. Intel’s recovery, while promising, hinges on sustaining this momentum in a rapidly evolving market.

marsbit04/25 01:32

marsbit04/25 01:32

Intel Soars 20%, CPUs Return to Center Stage in the Agent Era

Intel's stock surged 20% after reporting exceptional Q1 2026 results, with revenue of $13.6 billion (up 7% YoY) and non-GAAP EPS of $0.29, beating expectations by 29x. The rebound is driven by the resurgence of CPUs in the AI era, particularly as workloads shift from training to inference and agent-based applications. Intel’s Data Center and AI (DCAI) division hit a record $5.1 billion in revenue, up 22% YoY, marking a U-shaped recovery since mid-2025. The growth is attributed to strong demand for Xeon 6 "Granite Rapids" processors and increased AI infrastructure refresh cycles. While NVIDIA and AMD dominated the AI training phase, Intel is benefiting from the focus on AI agents, where CPU performance becomes critical—accounting for 50-90% of workflow latency in agent orchestration. This shift, coupled with management changes and strategic refocus on CPUs (including canceling the Falcon Shores GPU project), has repositioned Intel. New CEO Lip-Bu Tan emphasized that CPUs are re-establishing themselves as essential infrastructure in the AI era.

marsbit04/24 04:39

Intel Soars 20%, CPUs Return to Center Stage in the Agent Era

marsbit04/24 04:39

Stop Staring at GPUs: CPUs Are Becoming the 'New Bottleneck' in the AI Era

In the AI era, while GPUs have long been the focus for computational power, the narrative is shifting as CPUs are increasingly becoming the new bottleneck. By 2026, system performance is more dependent on execution and scheduling capabilities, with CPUs playing a critical role in enabling AI operations. A supply crisis is emerging, with server CPU prices rising about 30% in Q4 2025 due to high demand and production constraints, as GPU orders compete for limited semiconductor capacity. Companies like Google and Intel have deepened collaborations, and Elon Musk is investing in custom CPU solutions for his ventures, highlighting the strategic importance of CPU infrastructure. The shift is driven by the rise of agentic AI, where CPUs handle tasks such as multi-step reasoning, API calls, and data I/O, accounting for 50–90.6% of total latency in intelligent workloads. Expanding context windows in AI models further strain GPU memory, necessitating CPU offloading for key-value cache management. Major players are adopting varied strategies: Intel is strengthening its Xeon processor line and partnerships; AMD is benefiting from increased demand, with server CPU revenue surpassing 40%; and NVIDIA is designing CPUs like Grace to optimize GPU-CPU synergy through high-speed interconnects. The industry is witnessing a rebalancing of compute infrastructure, with CPUs gaining prominence as essential enablers of scalable AI agent systems. By 2030, the CPU market is projected to double to $60 billion, driven largely by AI demands. The focus is now on overcoming system-level bottlenecks to maximize the efficiency and economic viability of AI deployments.

marsbit04/13 00:57

Stop Staring at GPUs: CPUs Are Becoming the 'New Bottleneck' in the AI Era

marsbit04/13 00:57

The Safest Middleman in the Chip Industry Is Taking the Most Dangerous Path

Arm, the semiconductor IP licensing giant, is embarking on a high-risk strategic shift by developing its own data center CPU, the Neoverse V3-based AGI CPU. This move, its first in-house chip in 35 years, aims to catapult the company's annual revenue from $4 billion to a targeted $15 billion for its chip business by 2031. This ambitious goal requires creating a new business line nearly the size of Intel's entire data center division. The core driver is the threat from its largest customers. Major cloud providers like AWS, Google, and Microsoft are increasingly designing and deploying their own powerful Arm-based server chips (Graviton, Axion, Cobalt), capturing the chip profits while Arm earns only licensing fees and royalties. This trend places a visible ceiling on Arm's traditional revenue growth from the data center sector. By building its own chip, Arm is now competing directly with its own licensees. While its first customer, Meta, lacks a mature in-house chip program, the strategy risks alienating key partners like Amazon and Google. Arm's bet is that the explosive growth of AI-driven data center demand, particularly for CPU-based AI inference tasks, is large enough to support both its new chip business and its ongoing IP licensing model. The success of this unprecedented dual-role strategy hinges on navigating this inherent conflict.

marsbit03/25 08:01

The Safest Middleman in the Chip Industry Is Taking the Most Dangerous Path