# AI Chips İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "AI Chips" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

This Chip Sector Is on Fire

The global AI chip market is undergoing a significant paradigm shift, with ASICs (Application-Specific Integrated Circuits) emerging from a niche to a mainstream force, challenging the long-held dominance of GPUs in AI training. This "golden era" for ASICs is primarily driven by the industry's pivot from training to inference, where the cost and energy efficiency advantages of custom chips become critical for scaling to billions of users. Key signals include Google's TPU capturing 78% of its AI server shipments in Q1 2026, OpenAI's plans for a massive custom ASIC cluster with Broadcom, and cloud providers (CSPs) increasingly favoring in-house or custom designs for supply chain control and cost efficiency. Market forecasts are bullish: AI ASIC revenue is projected to hit $300 billion by 2027, with a 34% CAGR, potentially reaching a 45% share of the AI chip market. The competitive landscape is expanding beyond traditional leaders Broadcom and Marvell. MediaTek is aggressively targeting the data center ASIC market, projecting over $10 billion in 2026 revenue, while Qualcomm, leveraging its AlphaWave acquisition, is launching customized inference chips. These mobile chip giants are leveraging their SoC design expertise for a cloud-side transition. In China, companies like VeriSilicon and ASR Microelectronics are capitalizing on this trend as pivotal "enablers," providing full-stack ASIC design services and experiencing explosive order growth, particularly for cloud-side AI projects. However, challenges remain: high development costs, software ecosystem gaps compared to NVIDIA's CUDA, dependency on advanced packaging capacity (like TSMC's CoWoS), and the fundamental trade-off between customization and flexibility. The future is not a simple replacement of GPUs by ASICs but a more specialized coexistence. The consensus points toward "GPUs for training, ASICs for inference," or hybrid clusters. Ultimately, the rise of ASICs represents a democratization of computing power, shifting definition authority from a single chip giant to a broader ecosystem of cloud providers and end-users, offering the industry more choice in the silicon that powers AI.

marsbit05/18 00:29

marsbit05/18 00:29

Trump Executed 3,600 Stock Trades in Q1, Bought Nvidia, Dell, Then Made a 'Stock Tip,' Sparking Conflict-of-Interest Controversy

Former President Donald Trump executed 3,642 individual stock trades in Q1 2026, averaging about 60 trades per day, according to a recent OGE 278-T disclosure. This breaks from the modern presidential tradition of using blind trusts. The filings reveal Trump sold large positions in Amazon, Meta, and Microsoft while making significant new purchases in AI and semiconductor firms like NVIDIA, Broadcom, and Intel. Notably, he bought $1-5 million worth of Dell stock on February 10. Three months later, on May 8, he publicly urged Americans to "buy Dell" at a White House event; the stock has since risen 96%. His Intel purchases began in early March, after which the stock surged 150%. The U.S. government had taken a 9.9% stake in Intel in August 2025. These transactions, occurring close to related policy actions or public endorsements, have ignited significant controversy over potential conflicts of interest. While the White House maintains full compliance with the STOCK Act, critics highlight the unprecedented scale of trading and the timing coinciding with his official duties and donors' interests.

marsbit05/15 03:45

Trump Executed 3,600 Stock Trades in Q1, Bought Nvidia, Dell, Then Made a 'Stock Tip,' Sparking Conflict-of-Interest Controversy

marsbit05/15 03:45

NVIDIA's Market Share in China Drops Below 60%, Domestic AI Chips Seize Market with 1.65 Million Units Delivered Annually

Nvidia's market share in China's AI accelerator card market has declined significantly, dropping from approximately 95% to 55% in 2025, according to IDC data. During the same period, domestic Chinese manufacturers collectively captured 41% of the market, shipping 1.65 million units out of a total market of 4 million units. Huawei led the domestic suppliers with 812,000 units shipped, representing nearly half of the local market share. This shift is driven by both U.S. export controls and China’s aggressive domestic substitution policies. In November 2025, Beijing mandated that state-funded data centers must use domestic AI chips, accelerating the adoption of local alternatives. Huawei recently launched the Atlas 350 accelerator card, claiming 2.87 times the inference performance of Nvidia’s H20 in low-precision computing, though direct comparisons are complicated by architectural differences. While Chinese chips still lag behind in training large-scale AI models—estimated to be 5-10 years behind Nvidia—they have reached a "good enough" level for many commercial applications like inference tasks. The main challenge remains software ecosystem development, as Nvidia’s CUDA platform remains the industry standard. Chinese firms are responding with compatibility efforts and open-source initiatives. Several domestic AI chip companies are now pursuing IPOs, and Huawei continues heavy R&D spending to reduce foreign dependency. Even if U.S. export policies ease, the structural move toward domestic AI chips appears irreversible.

marsbit04/03 05:51

NVIDIA's Market Share in China Drops Below 60%, Domestic AI Chips Seize Market with 1.65 Million Units Delivered Annually

marsbit04/03 05:51

From 6000 Points to Two Circuit Breakers: A Missile Exposes South Korea's Stock Market Weakness

The South Korean Stock Exchange (KOSPI) experienced two consecutive trading halts (circuit breakers) on March 3 and 4, 2026, plunging nearly 13% from a recent high of 6,244 points. This sharp decline, triggered by escalating U.S.-Iran tensions and the closure of the Strait of Hormuz, exposed the extreme vulnerability of South Korea's stock market, which is heavily reliant on semiconductor stocks, particularly Samsung Electronics and SK Hynix. These two companies, dominating the global HBM (high-bandwidth memory) market crucial for AI and GPUs, had driven KOSPI's 75.6% surge in 2025. However, the market's concentration on chip exports, which account for over a third of total exports, became its Achilles' heel. The closure of the Strait of Hormuz—a vital shipping route for liquefied natural gas (LNG), which fuels nearly a third of Korea's power generation—threatened energy supplies and semiconductor manufacturing costs. While defense stocks surged on geopolitical tensions, foreign investors sold a record $8.5 billion in Korean shares over two days, highlighting the market's liquidity and its status as a prime target for rapid capital flight during global panic. Retail investors attempted to buy the dip, but were overwhelmed by the sell-off. The crash underscored deeper structural risks beyond corporate governance reforms: South Korea's market is exceptionally exposed to a single industry dependent on imported energy and vulnerable to global shocks. The incident demonstrated that while fundamentals may drive long-term growth, sentiment and geopolitics can erase gains rapidly.

比推03/04 13:31

From 6000 Points to Two Circuit Breakers: A Missile Exposes South Korea's Stock Market Weakness