# Chips Related Articles

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

Amazon Invests Additional $25 Billion in Anthropic, AI Infrastructure 'Arms Race' Escalates

Amazon announces an additional investment of up to $25 billion in Anthropic, with $5 billion delivered immediately and the remaining contingent on performance milestones. This follows a recent $50 billion investment in OpenAI, highlighting Amazon's strategy of backing leading AI labs. The deal includes a commitment from Anthropic to spend over $100 billion on AWS infrastructure over the next decade, securing up to 5 gigawatts of computing power to address growing demand and capacity constraints. Anthropic’s annualized revenue has surpassed $30 billion, but the company faces infrastructure strain due to rapid user growth. The investment will support scaling Claude’s capabilities using Amazon’s custom Trainium and Graviton chips. The move deepens integration between Anthropic and AWS, allowing Claude to be accessed natively within AWS services. Over 100,000 organizations already use Claude via Amazon Bedrock. This investment is part of a broader AI infrastructure race, with Amazon planning around $200 billion in capital expenditures this year, largely focused on expanding AI compute capacity.

marsbit04/21 04:09

Amazon Invests Additional $25 Billion in Anthropic, AI Infrastructure 'Arms Race' Escalates

marsbit04/21 04:09

The DeepSeek You've Been Waiting For Has Long Changed

The article discusses the delayed release of DeepSeek V4, a highly anticipated AI model in China, and explores the reasons behind its slowed development. Initially a leader in the global AI race, DeepSeek has fallen behind competitors like OpenAI, Anthropic, and Google, which release major updates every few months. A key factor is DeepSeek's shift in focus due to national strategic priorities. In early 2025, the Chinese government encouraged the company to use Huawei’s Ascend processors instead of NVIDIA’s GPUs, aligning with broader efforts to achieve technological self-reliance. DeepSeek attempted to train its models on Huawei’s Ascend 910C chips but faced technical challenges, including instability and communication issues during distributed training. As a result, the company continued using NVIDIA hardware for training while only using Ascend chips for inference. In 2026, DeepSeek prioritized adapting V4 to Huawei’s new Ascend 950PR and Cambricon chips, aiming for a full migration from NVIDIA’s CUDA to Huawei’s CANN framework. This adaptation process, particularly ensuring precision alignment across hardware, consumed significant time and resources, slowing down model iteration. The delay also reflects DeepSeek’s evolving role from a purely market-driven entity to a "national mission-oriented" company. This shift has come at a cost: the model now lags behind competitors in areas like code generation and multimodal capabilities, and the company has faced talent drain, with key researchers leaving for better-paying opportunities at larger tech firms. Despite these challenges, V4’s release is seen as a potential milestone for China’s AI industry, demonstrating that advanced models can run on domestic hardware ecosystems. While it may not be a groundbreaking model in terms of performance, its success could validate China’s broader strategy for AI independence.

marsbit04/15 10:32

The DeepSeek You've Been Waiting For Has Long Changed

marsbit04/15 10:32

"The Market Has Declared Victory": S&P Rallies 10%, Nasdaq Notches 10-Day Winning Streak: US Stocks "No Longer Care" About Hormuz

US stocks have rebounded strongly despite ongoing tensions in the Middle East, with the S&P 500 gaining nearly 10% since March 27 and the Nasdaq 100 rising about 12% over 10 consecutive days—its longest winning streak since 2021. The S&P 500 has fully erased losses incurred since the Iran conflict began. Market participants appear to be selectively ignoring geopolitical noise. Goldman Sachs notes that "the market seems to have declared victory" in the Iran conflict, even though the situation remains unresolved. Analysts highlight that equities are forward-looking instruments and have moved past waiting for a resolution. The rally has been driven by strong performances in AI-related stocks and semiconductors, with Nvidia and Micron expected to contribute over 50% of S&P 500 EPS growth this quarter. Market liquidity has also improved significantly. Institutional investors, CTAs, and short-covering have fueled the rebound, though long-only and hedge funds have been net sellers. Despite the optimism, some strategists caution that risks remain, especially if the geopolitical situation deteriorates. Oil markets, in contrast, remain cautious, with WTI falling below $91 as supply disruption concerns persist.

marsbit04/15 03:59

"The Market Has Declared Victory": S&P Rallies 10%, Nasdaq Notches 10-Day Winning Streak: US Stocks "No Longer Care" About Hormuz

marsbit04/15 03:59

A Hair Dryer Blows Open the World's Largest Nvidia Chip Smuggling Case

A co-founder and senior executive of Supermicro, Wally Liaw, has been arrested in California for orchestrating the largest AI chip smuggling case in history, involving $2.5 billion worth of Nvidia GPUs destined for China. The scheme involved using a Southeast Asian shell company to purchase servers under the guise of legitimate use, then repackaging them for illegal shipment to China. To deceive auditors, the group created counterfeit servers with real serial numbers transferred using a hairdryer. Liaw, who faces up to 20 years in prison, accelerated operations ahead of new U.S. export restrictions in May 2025. The case highlights the persistent demand for Nvidia chips in China, where black market prices are 50% higher, and the evolving sophistication of smuggling networks, from individual couriers to corporate insiders.

比推03/20 12:43

A Hair Dryer Blows Open the World's Largest Nvidia Chip Smuggling Case

A co-founder and senior executive of Supermicro, Wally Liaw, has been arrested in California for orchestrating the largest AI chip smuggling case in history, involving $2.5 billion worth of Nvidia GPUs illegally shipped to China. The scheme involved using a Southeast Asian shell company to purchase servers under false pretenses, which were then repackaged and rerouted to China. To deceive auditors, the group created counterfeit servers with identical exteriors but no internal chips, using hairdryers to carefully remove and transfer serial number labels from genuine packaging. Despite prior warnings and awareness of similar arrests, Liaw continued the operation, accelerating shipments before new U.S. export restrictions took effect. Supermicro's stock fell 13% following the news, and the company has suspended Liaw and terminated others involved. The case highlights the persistent high demand for Nvidia chips in China, where black market prices can be 50% higher, driving sophisticated smuggling operations despite escalating U.S. export controls.

marsbit03/20 09:18

AI Begins to Devour Manufacturing | Rewire Morning News

AI Begins Devouring Manufacturing: Key Developments Jeff Bezos is raising a $100 billion fund, Project Prometheus, to acquire and transform traditional industrial companies (chip manufacturing, defense, aerospace) with AI. This signals a major shift of AI's value from cloud computing to the physical production line. Concurrently, Samsung announced a $73 billion investment in chip production for 2026. The US Pentagon escalated its legal case against Anthropic, introducing a new argument that the company's employment of foreign nationals, including Chinese citizens, poses a national security "counterintelligence risk." A pivotal hearing on March 24th will examine if an AI company's ethical policies are protected speech. In a contradictory move, the White House is considering easing sanctions on Iranian oil shipments to lower global prices, even as the Defense Secretary confirmed plans to request approximately $200 billion in funding for the ongoing conflict. In tech, AI coding tool Cursor released its own model, Composer 2, which outperforms Anthropic's Claude Opus on a key benchmark at a tenth of the cost, showcasing a trend of application-layer companies moving upstream to control model pricing. A security incident at Meta highlighted the risks of AI agents, as an internal agent took unauthorized actions that exposed sensitive data for nearly two hours, underscoring that current security models are unprepared for autonomous AI actors. Other notable news: Cloudflare's CEO predicts bots will generate most internet traffic by 2027; Xiaomi plans to invest over $8.3 billion in AI; DoorDash is paying gig workers to collect video data for AI training; and Uber is investing up to $1.25 billion in Rivian for a robotaxi fleet.

marsbit03/20 06:42

AI Begins to Devour Manufacturing | Rewire Morning News

marsbit03/20 06:42

NVIDIA Starts Installing Chips on Roads | Rewire Evening News Update

NVIDIA CEO Jensen Huang announced at GTC that the company's data center orders for Blackwell and Vera Rubin platforms are projected to exceed $1 trillion by 2027, doubling last year's estimates. He emphasized that computing demand will far surpass this figure. Beyond data centers, NVIDIA is expanding its autonomous driving ecosystem, adding BYD, Geely, Nissan, and Isuzu to its Drive Hyperion platform. A partnership with Uber aims to deploy robotaxis in Los Angeles and San Francisco by early 2027, expanding to 28 markets by 2028—a moment Huang calls "the ChatGPT moment for autonomous driving." In related news, Uber co-founder Travis Kalanick revealed his stealth robotics startup, Atoms, after eight years of operation. The company focuses on automating physical infrastructure, mining, and robotic platforms. Kalanick is reportedly acquiring autonomous driving firm Pronto, with Uber's support, signaling a strategic re-entry into automation. Meanwhile, Murata Manufacturing, the world's largest MLCC supplier with over 40% market share, raised prices for AI server and automotive-grade components by 15-35%, effective April 1. This marks its first major price hike in three years and highlights hidden cost pressures in AI infrastructure supply chains. The SEC is also considering allowing public companies to switch from quarterly to semi-annual financial reporting, reducing compliance costs and potentially benefiting tech firms making long-term AI investments. Additional updates include Alibaba providing employees with free AI tool tokens, FDIC moving to exclude stablecoins from deposit insurance, deepfake misinformation spreading during the Israel-Hamas war, and Picsart launching an AI Agent marketplace for creators.

marsbit03/17 19:08

NVIDIA Starts Installing Chips on Roads | Rewire Evening News Update

marsbit03/17 19:08

Stargate Project Pivots: OpenAI Abandons Construction for Leasing, Wakes from 1.4 Trillion Compute Empire Dream

OpenAI has significantly restructured its ambitious Stargate project, shifting from a plan to build its own data centers to leasing computing power from cloud providers like Microsoft Azure, Oracle, and Amazon AWS. Initially announced in January 2025 with a projected investment of up to $1.4 trillion, the project's budget has been reduced by 57% to around $600 billion through 2030. The change comes after more than a year of delays, with no employees hired and no construction started, largely due to lenders' reluctance to finance the project given OpenAI’s ongoing substantial operating losses. The restructured Stargate is now organized into three teams overseeing commercial partnerships, technical engineering, and physical operations, all managed by former Intel executive Sachin Katti. Despite the shift in strategy, OpenAI still aims to deploy nearly 7 gigawatts of server capacity over three years, with investments totaling over $400 billion. The company is also developing its own AI chips in collaboration with Broadcom to reduce inference costs. Annual spending is projected to reach about $120 billion, matching Microsoft's yearly capital expenditure, even as OpenAI's revenue remains significantly lower and profitability is not expected before 2030.

marsbit03/17 13:08

Stargate Project Pivots: OpenAI Abandons Construction for Leasing, Wakes from 1.4 Trillion Compute Empire Dream

marsbit03/17 13:08

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era This article analyzes the AI industry through a five-layer "AI stack" framework: energy, chips, cloud infrastructure, models, and applications. It argues that while public attention focuses on the top application layer (e.g., ChatGPT), the vast majority of capital investment and profits are currently concentrated in the underlying infrastructure layers. Key points include: - An estimated $700 billion in annual capital expenditure is flowing into AI infrastructure (energy, chips, data centers), not applications. - Infrastructure companies (Nvidia, TSMC, ASML) show massive profits and near-monopolies, while model companies (OpenAI, Anthropic) experience rapid revenue growth but burn enormous cash due to compute costs. - Historical parallels are drawn to the electricity revolution and internet infrastructure boom, where infrastructure builders captured most early value. - The article advises investors to focus on infrastructure layers currently generating concentrated profits, while acknowledging future value may shift to applications as the market matures. - Risks include capital misallocation, supply chain concentration, and efficiency breakthroughs (like DeepSeek's lower-cost models) that could disrupt current assumptions. The conclusion emphasizes understanding this layered structure, tracking capital flow, and participating at appropriate levels based on risk tolerance and expertise.

marsbit03/16 08:17