# Сопутствующие статьи по теме Data Center

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Data Center", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

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

After Laying Off 30,000 Employees, Oracle Hires a CFO Who Managed Power Plants

Oracle, the global enterprise database giant, laid off approximately 30,000 employees, sparking widespread discussion. Shortly after, the company appointed Hilary Maxson as its new CFO with a compensation package of $297 million. Maxson’s background is notable: she spent nearly a decade as group CFO at Schneider Electric, a major energy management firm, and previously worked for 12 years at AES Corporation, a U.S. power company. Her entire career has revolved around the energy sector—managing power plants, grids, and data center energy solutions. This appointment signals a strategic shift for Oracle. After 12 without a dedicated CFO, the company is pivoting from its traditional software business toward cloud and AI infrastructure. Oracle’s cloud infrastructure revenue surged 84% year-over-year, with a capital expenditure budget of around $50 billion this year—almost entirely allocated to AI data center construction. The company has secured massive contracts, including one with OpenAI exceeding $300 billion, contributing to a total backlog of $553 billion. Data centers, especially at the gigawatt scale, require enormous power—equivalent to a nuclear power plant’s output—making energy management critical. Oracle is no longer just a software company; it’s transforming into an energy-intensive infrastructure provider. While Wall Street remains optimistic, the stock has fallen about 24% this year, reflecting investor concerns over this high-cost, capital-intensive transition. The hiring of an energy-focused CFO underscores Oracle’s new direction.

marsbit04/08 05:23

After Laying Off 30,000 Employees, Oracle Hires a CFO Who Managed Power Plants

marsbit04/08 05:23

Mine Owners' New Business: Sitting on Land and Collecting Rent, Earning Billions Annually

The article "Mine Owners' New Business: Collecting Rent, Earning Billions Annually" explores the strategic pivot of Bitcoin mining companies towards AI infrastructure and high-performance computing (HPC) as Bitcoin approaches its supply limit. By 2026, with only 1 million Bitcoin left to mine and rising operational costs squeezing profitability, major mining firms are capitalizing on their existing assets—large-scale power capacity, data centers, and cooling systems—to serve the exploding demand for AI compute. Companies like IREN, Core Scientific, Cipher Digital, and Hut 8 have secured long-term contracts worth tens of billions of dollars with tech giants (Microsoft, Amazon, Google) and AI firms (Anthropic, CoreWeave) to provide GPU cloud services and HPC hosting. Financial reports highlight a stark contrast: while Bitcoin毛利率 have plummeted post-halving, AI-related services boast margins as high as 86%. Firms are rebranding, exiting mining, and leveraging their power infrastructure advantages—deploying AI data centers in months versus years for traditional builders. However, this转型 comes with risks: high debt from infrastructure upgrades, strict contract deadlines, regulatory hurdles, and operational challenges. The shift positions these companies as key "digital power stations" in the AI era, where control over electricity and grid access becomes a critical competitive edge. The period from 2026 to 2028 will be crucial for determining which players succeed in this high-stakes transition.

比推03/16 11:10

Mine Owners' New Business: Sitting on Land and Collecting Rent, Earning Billions Annually

比推03/16 11:10

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