Why this matters:– AI workloads are exploding– GPU supply is bottlenecked– Traditional data centers can’t scale fast enoughNeurolov’s model decentralizes compute, distributes rewards ($NLOV), and aligns with Web3 x AI macro trends ...

Group 1 - The recent live broadcasts covered three main topics: domestic GPU shipment volumes, comparison of GPU chip parameters between domestic and international markets, and the hardware architecture of GB200, including the use of light and copper in GB200 [1] - The PPT content from the live broadcasts is sourced from the "Star Planet" platform, which also features financial models for SMIC and analyses of earnings reports from Amazon, Meta, and Google [3] - There is a growing demand for NVIDIA's ConnectX cards, and there are domestic alternatives available [4] Group 2 - The "Star Planet" platform is updated daily with industry information, foreign investment bank data, and selected analysis reports, with key information organized in a cloud drive for continuous updates [7]

Core Insights - The discussion around the "death of Moore's Law" has intensified, raising questions about whether chip manufacturing has reached physical limits [1] - The lithography machines used in chip manufacturing are highly profitable yet extremely fragile, with only two companies capable of repairing core components [1] - Intel's significant investment of €350 million in High-NA EUV technology contrasts with TSMC's initial hesitation, highlighting differing strategic approaches in the industry [1] - The actual size of chips marketed as "3nm" can exceed 20nm, indicating a discrepancy in naming conventions within the chip industry [1] - The evolution of lithography technology is increasingly fueled by advancements in GPU and AI, suggesting a shift in the industry's focus [1] - ASML, a key player in precision machinery production, has faced stock price declines due to repeated operational errors [1] - The unstable international landscape poses potential challenges for the development of the semiconductor industry [1]

日前，曾在ATI、AMD、苹果和英特尔任职的的传奇GPU架构师Raja Koduri对外公布了其 成立的GPU公司Oxmiq Labs。 据Raja Koduri在其社交媒体介绍，Oxmiq Labs Inc. 是一家全新的 GPU 软件和 IP 初创公司，从 隐形中脱颖而出。"我们组建了一支由 GPU 和 AI 架构师组成的世界级团队，他们拥有 500 多年 的综合经验。OXMIQ 的可许可 IP 从头开始重新构建 GPU。"Raja Koduri说。 "我们希望成为下一代的 Arm"，Raja Koduri在接受路透社采访时表示。 Oxmiq Labs指出，公司正在采用软件优先的方法来构建其芯片设计，并开发了一种工具，允许为 Nvidia 的 CUDA 编写的软件程序在非 Nvidia 硬件上运行，"而无需修改代码或重新编译"。 "我们可能是硅谷 25+ 年来第一家新的 GPU 初创公司，GPU 并不容易"，Raja Koduri说。 一款基于RISC-V的GPU 据Oxmiq Labs所说，现代计算已从根本上转向多模态体验，文本、音频、视频、图像和 3D 环境 无缝交互，GPU 架构成为这一转变的基石。 ...

华为版本CUDA，全面开源开放！ 最新消息，华为宣布为其昇腾AI GPU开源其CANN软件工具包。 红交 发自 凹非寺 量子位 | 公众号 QbitAI 华为轮值董事长徐直军在主题演讲中强调：华为AI战略的核心是算力，并坚持昇腾硬件变现。 基于这一背景下，徐直军在会上宣布华为昇腾硬件使能CANN全面开源开放，Mind系列应用使能套件及工具链全面开源，支持用户自主的深 度挖潜和自定义开发，加速广大开发者的创新步伐， 让昇腾更好用、更易用 。 CANN，神经网络计算架构，提供多层编程接口，帮助用户构建针对华为昇腾的AI应用程序。 它是一个由多种技能栈和算子加速库等组成的软件生态系统，换句话说，它就像是华为版本的CUDA，为GPU提供相同的接口。 巧合的是，同一天，一传奇GPU大佬创业公司终于浮出水面，他们不搞消费级GPU，而是做CUDA类似软件生态系统。 因为一旦开发者想要迁移到其他产品。那么就需要重写代码，使用生态相对不成熟的替代库，同时也会失去英伟达围绕CUDA建立起来的庞大 技术社区的支持。 之前有项目尝试将CUDA功能（通过转换层）引入其他 GPU供应商，但由于英伟达阻拦，这些项目大多未能成功。2024年 ...

Advanced Micro Devices TodayAMDAdvanced Micro Devices$160.32 -13.99 (-8.02%) 52-Week Range$76.48▼$182.50P/E Ratio118.59Price Target$173.52Add to WatchlistAMD’s NASDAQ: AMD Q2 results were tepid, giving the market a reason to sell, at least for some participants. The results and subsequent sell-off also provide a reason to buy, having missed a high bar by a slim margin due to misplaced expectations and providing a discount to recently elevated prices.  The primary cause of Q2 weakness and the sell-off is th ...

Market Performance - The three major A-share indices collectively declined, with the Shanghai Composite Index down 0.37%, the ChiNext Index down 0.24%, and the Shenzhen Component Index down 0.17% [1] - The trading volume in the Shanghai, Shenzhen, and Beijing markets was 16,199 billion yuan, a decrease of 3,420 billion yuan compared to the previous day [1] Sector Performance - AI hardware themes generally retreated, with CPO and GPU sectors leading the decline; stablecoins, military industry, and semiconductor stocks also saw significant drops [1] - Conversely, AI applications, photovoltaic, innovative pharmaceuticals, and smart logistics sectors were active [1] ETF Highlights - The Guangfa Fund's Hang Seng Consumer ETF rose by 4.69% [1] - The photovoltaic sector showed strength, with Guangfa Fund's Photovoltaic ETF, Guotai Fund's Photovoltaic 50 ETF, and Huashan Fund's Photovoltaic ETF Index Fund increasing by 2.53%, 1.94%, and 1.94% respectively [1] - The traditional Chinese medicine sector was active, with Yinhua Fund's Traditional Chinese Medicine 50 ETF and Huitianfu Fund's Traditional Chinese Medicine ETF rising by 2.36% and 1.89% respectively [1] International Market Trends - Overnight oil prices declined, leading to a drop of over 5% in Sinopec's stock, and the oil and gas resource ETF fell by 4.18% [1] - The South Korean stock market also declined, with the South Korea Semiconductor ETF down 3.38% [1] - European stock markets closed at their lowest in over a week, with France's CAC40 ETF and Germany's ETF down 2.44% and 2.2% respectively [1] - U.S. stocks experienced a pullback after an initial rise, with the U.S. 50 ETF and Nasdaq ETF both down by 2% [1] - Military stocks were among the biggest losers, with the aerospace and defense ETF down 2.31% [1]

Market Overview - The A-share market saw most major indices decline today, with the Shanghai Composite Index falling by 0.33% to close at 3593.66 points, and the Shenzhen Component Index decreasing by 0.22% to 11168.14 points. The ChiNext Index dropped by 0.23% to 2340.06 points, while the Sci-Tech 50 Index increased by 2.07% to 1054.20 points. Overall, 2724 stocks declined, 2532 stocks rose, and 158 stocks remained flat, with total trading volume in the Shanghai and Shenzhen markets amounting to 12189 billion yuan, a decrease of 6258.16 billion yuan from the previous trading day [1][2]. Industry Performance - Among the primary industries, electronic, computer, real estate, light manufacturing, textile and apparel, and media sectors led the gains, while construction decoration, building materials, food and beverage, coal, comprehensive, and steel industries experienced declines [1][2]. Sector Highlights - The top-performing concept sectors today included GPU, Kimi, multimodal models, ChatGPT, photolithography machines, intelligent agents, servers, selected rare metals, AIGC, artificial intelligence, machine vision, ASIC chips, selected semiconductors, Xiaohongshu platform, and Pinduoduo partners [2].

Core Viewpoint - Lenovo Capital is a steadfast supporter and important participant in China's technological innovation, showcasing its investment achievements and commitment to the AI sector over the past decade [4]. Group 1: Investment Achievements - Lenovo Capital has invested in over 280 technology companies in its 9 years of operation, with 20 of these companies successfully going public and over 50 unicorns cultivated in various niche sectors [4]. - Since 2016, Lenovo Capital has captured three out of five companies with a market value exceeding 300 billion in the A-share market, including Cambricon, CATL, and Haiguang Information [4]. - Lenovo Capital was one of the few institutions to invest in both Moer and Muxi, which were accepted for IPO on the Sci-Tech Innovation Board on June 30 this year [4]. Group 2: Focus on Robotics and Intelligent Systems - Lenovo Capital has been deeply involved in the machine intelligence sector for over ten years, investing in more than 50 related companies and witnessing the entire process from core component development to breakthroughs in embodied intelligent systems [6]. - Cloudwalk Technology, a company invested by Lenovo Capital, is on track to become the first publicly listed company in the robotics service sector, ranking first globally in the number of service terminals [6]. Group 3: Investment Strategy and Market Insights - Lenovo Capital adopts a CVC 2.0 model, leveraging Lenovo's brand influence, extensive channel network, and efficient supply chain to create a robust business cooperation bridge between its portfolio companies and the Lenovo Group [4]. - The company emphasizes a proactive investment strategy in early-stage technology sectors, willing to take on greater risks in areas with long-term value potential [11]. - In the field of embodied intelligence, Lenovo Capital believes it is a groundbreaking industry with diverse opportunities, leading to a varied investment approach across different teams and sectors [11][9]. Group 4: Market Trends and Competition - The influx of various enterprises into the embodied intelligence sector is viewed positively, as it indicates recognition of the sector's value and potential across different industries [13]. - While acknowledging the existence of market bubbles, Lenovo Capital emphasizes that the definition of "bubble" can vary, and the market's future commercial and social value will ultimately determine the sustainability of valuations [17].

Core Viewpoint - Shanghai-based GPU unicorn Hanbo Semiconductor has officially initiated its A-share IPO process, marking a significant step in its capital market journey [2] Company Overview - Hanbo Semiconductor was founded in December 2018 with a registered capital of 543 million yuan and is co-controlled by its founders Qian Jun and Zhang Lei, who collectively hold 42.1465% of the voting rights through 17 employee stock ownership platforms [2][5] - The company is in a "no controlling shareholder" state, indicating a diversified ownership structure [2] Market Context - The GPU sector is critical for high-performance computing and artificial intelligence, with applications in gaming, cloud computing, big data, and AI training and inference [2] - Hanbo Semiconductor is one of five domestic GPU companies that have started the A-share IPO process in the past year, alongside Biran Technology, Moore Threads, Muxi Co., and Granfi [2] Financial Highlights - Hanbo Semiconductor is valued at 10.5 billion yuan, making it one of the highest-valued companies in the GPU sector according to the 2025 Hurun Global Unicorn List [2] Product Development - The company has developed three core product lines: graphics rendering GPUs, data center AI GPUs, and edge AI inference GPUs, targeting high-performance computing fields such as intelligent computing centers, industrial simulation, autonomous driving, and smart cities [5] - Hanbo Semiconductor has released two generations of GPU chips: the first generation SV100 and the second generation SG100, with the latter completing its tape-out in 2023 [5] Recent Innovations - In 2022, Hanbo Semiconductor launched two significant inference card products: the VA10 for data centers and the VE1 for edge computing [6] - In 2023, the company introduced the Nanyu series GPU acceleration cards and six new products aimed at large models and generative AI, including the VA1L large model AI acceleration card and the VA12 high-performance generative AI acceleration card [6] Industry Outlook - According to Gartner's latest forecast, the global AI chip market, which includes GPUs, ASICs, and FPGAs, is expected to reach approximately $94-95 billion by 2025, representing a growth of about 30% from the estimated $71-73 billion in 2024, making it one of the fastest-growing segments in the semiconductor industry [6]