闻乐 发自 凹非寺 量子位 | 公众号 QbitAI 游戏&装机党注意了！ 有消息称英伟达2026上半年要对 GeForce RTX 50 系列下狠手，产量将一刀砍掉30%-40%。 16GB显存的5060 Ti、5070Ti可能最先没……这意味着消费者要么被迫选"阉割版"的8GB显卡，要么就得加钱买更贵的。 那为啥突然减产呢？ 优先保高利润机型 一方面是 "内存荒" 闹的。 不只是大家比较关注的GDDR7，现在连其他类型内存都供应紧张，就算英伟达想满负荷生产，但"巧妇难为无米之炊"，没有足够的内存也白 搭。 另一方面更现实，怕 卖不动 。 英伟达可能预判到2026年NAND和DRAM的内存成本会涨，这样必然会推高整机的价格，到时候消费者就会犹豫着不买，与其造出来堆库 存，不如提前砍掉产能，把控风险。 消息一出，网友炸锅了："我们玩家算什么！""AMD、Intel你们趁机崛起吧"。 所以只能牺牲这两款中端卡的产能，优先保高利润机型了。 而且，还有个坏消息，咱普通玩家得做好GPU缺货涨价的准备…… 现在的3A游戏对显存要求越来越高，8GB显存玩起来可能会卡顿、掉帧、降画质，可一旦市面上16GB显卡变少了，那到时 ...

Core Viewpoint - A modification involving the addition of a single resistor has allowed an RTX 4090 gaming laptop to outperform an RTX 5090 in certain benchmarks, highlighting the significant impact of power consumption on performance [1][10]. Group 1: Power Consumption and Performance - Power consumption is a critical factor that directly influences the performance of gaming laptops, with high-end models often boasting total power consumption exceeding 200W [3][5]. - The total power consumption typically refers to the combined power of the CPU and GPU, where higher power levels correlate with better performance due to enhanced cooling and power supply requirements [5][12]. - A user modified their ROG Zephyrus M16 by adding a resistor, effectively lowering the circuit resistance and allowing the RTX 4090 to draw nearly double its original power limit, resulting in performance that rivals the RTX 5090 [9][10]. Group 2: Benchmark Comparisons - After the modification, the performance of the RTX 4090 in the ROG M16 surpassed that of the RTX 5090 in most 3DMark tests, with the highest score in the Speedway benchmark showing a 9.6% lead [10][11]. - The overall performance improvement from the modification was over 20% in most benchmarks, with some tests showing increases of more than 35% [11][12]. Group 3: Manufacturer Limitations - NVIDIA is identified as the entity that sets power consumption limits for mobile GPUs, which restricts manufacturers from fully utilizing the hardware's potential [13][15]. - Despite the potential for higher performance through increased power limits, manufacturers often adhere to NVIDIA's restrictions to maintain product differentiation and avoid market conflicts [15][16]. - There are indications that NVIDIA may consider lifting power limits for future high-end models to cater to hardcore gaming enthusiasts seeking significant performance boosts [15][16].

Core Insights - The BEHAVIOR Challenge aims to advance embodied intelligence by uniting academic and industrial forces to tackle household robotics [3][4] - Inspired by the success of ImageNet, the challenge seeks to establish a standardized framework for evaluating robotic performance in household tasks [11][14] Challenge Overview - The first BEHAVIOR household challenge, sponsored by NVIDIA, requires participants to use the Xinghai R1 Pro robot to complete 50 household tasks in a realistic virtual environment [5][6] - Participants can choose their algorithms and have access to 10,000 expert demonstration trajectories for imitation learning [6] - The challenge includes two tracks: Standard Track (limited to visible information) and Privileged Track (access to detailed environmental data) [9] Objectives and Rationale - The initiative is driven by the need to address existing challenges in robotic learning, such as lack of standardization and fragmented task selection [25] - The goal is to create a "North Star" task for the robotics field, promoting community collaboration to advance embodied intelligence [16] Design Philosophy - BEHAVIOR emphasizes a human-centered approach, ensuring that AI enhances and empowers human capabilities rather than replacing them [18] - The challenge focuses on household tasks, defining clear standards for a true household robot, including navigation, fine manipulation, long-term planning, and dynamic adaptation [19] Scale and Potential - The challenge encompasses 1,000 household activities and 50 long-term tasks, with an average task duration of 6.6 minutes [21] - BEHAVIOR is positioned to potentially become the "next ImageNet" in the field of embodied intelligence, although its success will depend on future developments [21][22]

Core Thesis - Advanced Micro Devices, Inc. (AMD) is positioned as a strong investment opportunity due to its potential market share gains and the challenges faced by competitor Nvidia, with a target price range of $168–$187 over the next 12–18 months [2][5]. Financial Performance - AMD reported a 32% year-over-year revenue growth in Q2 2025, reaching $7.7 billion, driven by a 73% increase in gaming revenue to $1.1 billion and a 14% rise in data center revenue to $3.2 billion [3]. - Wall Street forecasts suggest a 15–20% compound annual growth rate (CAGR) for earnings per share (EPS) through 2027, despite near-term margin pressures from export controls [3]. Competitive Landscape - Nvidia's structural GPU reliability issues, such as problems with RTX 4090 connectors, create a competitive opportunity for AMD, which is seen as a stable alternative [4]. - AMD's RX 9070 XT shows strong performance and improved power efficiency, while its open-source ROCm platform enhances its data center positioning [4]. Market Opportunities - AMD could capture $3.6–$6 billion in incremental revenue from potential market share gains in the $120 billion discrete GPU segment, although Nvidia's ecosystem dominance poses challenges [5]. - The company's diversified revenue streams and competitive GPU offerings support the potential for multiple expansions, despite macroeconomic risks such as Federal Reserve rate hikes [5]. Historical Context - AMD's stock price has appreciated approximately 39% since May 2025, reflecting strong revenue growth driven by data center and Ryzen processor sales, as well as AI demand [6].