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今天10月9日周五7 条
  1. Quantum Computing Report65

    美国能源部在 Genesis Mission 第二阶段投入 1.59 亿美元资助量子纠错与量子材料项目

    美国能源部宣布在 Genesis Mission 第二阶段授予 12 个项目、合计 1.59 亿美元,其中 2 个项目聚焦物理量子硬件扩展、量子纠错(QEC)协同设计和功能量子材料合成。哈佛牵头的 ASQC 项目用 AI 自动化 QEC 码选择与系统协同设计;ORNL 牵头基于物理信息的 AI 框架逆向设计量子磁性材料。

    AI 生成摘要 · 以原文为准

  2. NVIDIA41

    祝贺我们的 CEO @JensenHuang 因推动 GPU 计算助力科学突破而荣获国家科学奖章。 同贺其他获奖者 Elon Musk、Lisa Su、Michael Dell、Satya Nadella 和 Sergey Brin。

    AI 生成摘要 · 以原文为准

    引用Rapid Response 47@RapidResponse47

    .@POTUS presents the National Medal of Science to Sergey Brin, @JensenHuang, @elonmusk, and @LisaSu, and the National Medal of Technology and Innovation to @MichaelDell and @satyanadella.

  3. a16z66

    AWS CEO Matt Garman 与 a16z 的 Raghu Raghuram 对谈称,AWS 本可把全部 GPU 卖给 frontier 实验室,但刻意为创业公司保留算力以维持生态健康,约 60% 的资源请求会以某种形式获得批准。

    AI 生成摘要 · 以原文为准

    引用a16z@a16z

    AWS CEO Matt Garman 与 a16z 的 Raghu Raghuram 对谈:全球最大云提供商如何为智能体时代重构: 2026 年 2200 亿美元资本支出,订购 200 万块 NVIDIA GPU,AWS 自研 AI 芯片明年之前售罄,还推出无需信用卡、30 秒即可开通的 AWS 账户,让智能体立即动起来。 0:55 营收 1700 亿美元,增长 37% 2:40 30-40% 的营收最初来自初创公司 4:55 初创公司想要面向智能体的云 9:10 30 秒开通 AWS 账户 12:25 智能体不需要坚不可摧的数据库 16:30 为什么 AWS 不会把所有 GPU 卖给前沿实验室 22:00 为什么 Matt 不担心泡沫 24:45 为什么 AWS 自建电厂 27:45 为下一次供应短缺做规划 30:25 为一个县每位居民节省 5000 美元 33:10 AWS 如何打造自研芯片 40:05 是什么阻碍了企业级智能体 45:35 为什么 Bedrock 从不把你的数据发给模型 49:30 AWS 的新 AI 安全工具 51:50 为什么 AWS 的 10 人团队如今只需 3-4 人 YouTube: https://www.youtube.com/watch?v=rn_afJaPldg @mattsgarman @awscloud @RaghuRaghuram

    同一新闻,精选展示《AWS CEO Matt Garman 对谈 a16z:2200 亿美元 CapEx 与为智能体时代重构 AWS》

10月8日周四
  1. NVIDIA Newsroom62

    NVIDIA 承诺未来五年投入 10 亿美元推动美国科学研究

    NVIDIA 宣布未来五年承诺投入价值 10 亿美元的资源,支持美国在量子计算、医疗健康和能源安全等领域的超级智能研发,并在华盛顿 Science: A New Golden Age 活动上公布。资金将用于支持美国高等教育研究机构、推进量子计算领导力,以及支持云服务商满足美国政府任务需求。

    AI 生成摘要 · 以原文为准

    关注理由:NVIDIA 承诺五年内投入 10 亿美元支持美国科研,重点覆盖量子计算、医疗与能源安全,明确了其对国家级科研算力与量子方向的投入布局。

  2. EE Times30

    NVIDIA Jetson 迁移至 SiMa.ai Modalix MLSoC 指南

    SiMa.ai 发布技术指南,介绍如何将机器学习模型和应用从 NVIDIA/CUDA 环境迁移到其 Modalix MLSoC 与 Palette 软件栈。模型可导出为 ONNX 后由 Model Compiler 完成量化与编译,无需重新训练;应用侧使用 Palette Neat 适配,从预处理到 DeepStream。

    AI 生成摘要 · 以原文为准

10月7日周三
  1. Ben Bajarin35

    👀 本期讨论内存周期是否已被打破,以及 NVIDIA 与 Broadcom 400 亿美元以上的融资打法,由 Ben Bajarin 与 Jay Goldberg 对谈。

    AI 生成摘要 · 以原文为准

    引用The Circuit@T_h_e_Circuit

    Has the Memory Cycle Broken? Plus: Nvidia & Broadcom’s $40B+ Financing Playbook With @BenBajarin and @jaygoldberg Chapters: (00:00) Intro (00:34) Micron Earnings: Has the Memory Market Structurally Changed? (05:10) The 2028 Supply Question & China’s (CXMT) Fast Fab Buildout (07:16) HBM vs. Commodity Memory: The Case for "Trailing-Edge" DDR4 (12:26) Opportunity Costs: Wafer Trade-Offs, Tesla De-Specing & Smartphone Cycles (21:16) Micron Stock Reaction & Market Skepticism (22:32) Inside HPE’s Investor Event: A Networking Company Now? (25:47) The Helios Rack, Broadcom Tomahawk Switches & HPE’s Unique IP Question (32:18) "Balance Sheet as a Service": Nvidia’s NDR Deck & Broadcom’s $42B Anthropic Loan (36:54) Why Fabless Chipmakers Finance the Ecosystem Instead of TSMC (41:13) Hock Tan’s PE Playbook & How Nvidia Forces Competitors to Spend (50:00) Tokenomics: Quantifying the Real Unit Economics of AI Models (52:34) OpenAI’s "Ultra Fast" Tier, GPU Optimization & Fragmented Model Pricing (57:32) Wrap-Up & Outro

10月6日周二
10月5日周一
10月3日周六
  1. NVIDIA26

    感谢 The Korea Society 向 @JensenHuang 颁发 2026 年 Van Fleet 奖,并庆祝美韩伙伴关系。 我们与韩国合作已超过 25 年,我们为共同取得的成果感到自豪。期待未来更多的合作。

    AI 生成摘要 · 以原文为准

    引用The Korea Society@koreasociety

    The Korea Society thanks all distinguished guests who joined us for an unforgettable evening on Sept 28 celebrating the U.S.-Korea partnership and 2026 Van Fleet Awardee, @JensenHuang (@NVIDIA). Our sincere thanks to our generous sponsors who made the 2026 Annual Gala possible.

  2. Fabricated Knowledge33

    笑死,这渲染搞得我火大——兄弟,我们根本不是在 PCIE 上用显卡的

    AI 生成摘要 · 以原文为准

    引用Bearly AI@bearlyai

    Someone used Claude Opus 5.5 to make a 3D animation of Nvidia Blackwell GPUs (from server down to an atom). Took 1 hour and full animation “runs from single HTML file, directly in browser. No vid editor. No pre-rendered 3D sequence. Just browser-based experience.” Very cool.

10月2日周五
  1. NVIDIA Newsroom64

    OpenAI 发布 GPT-6 Astra Ultrafast,NVIDIA Blackwell GPU 加速下 token 生成速度最高提升 8 倍

    GPT-6 Astra Ultrafast 现已在 OpenAI API 及面向符合条件的 ChatGPT Work 与 Codex 用户开放,运行在 NVIDIA Blackwell GPU 上。

    AI 生成摘要 · 以原文为准

    关注理由:OpenAI 基于 NVIDIA Blackwell 推出 Ultrafast 推理模式,展示了模型厂商通过自研推理优化榨取 GPU 硬件性能的路径,对算力平台软件生态有意义。

10月1日周四
  1. NVIDIA Newsroom43

    NVIDIA 自豪地加入美国技能行业联盟(Alliance for America’s Skilled Trades)。 AI 正在推动一代人一遇的基础设施建设浪潮,而美国需要熟练劳动力来建设它。 该联盟的新报告发现,到 2035 年,每年将需要填补 170 万个技能行业岗位空缺。

    AI 生成摘要 · 以原文为准

    引用Jim Farley@jimfarley98

    At @Ford, we care a lot about the Essential Economy, which is the workers who build, fix, and maintain the physical world around us. These skilled trades are the backbone of American manufacturing and we need solutions for closing the skills gap, and providing the education and resources that will power the productivity and growth of the #EssentialEconomy. Across industries and public and private sectors, we all need to work together. That's why this summer, Larry Fink from @BlackRock, Ruth Porat from Alphabet Inc. & @Google, Linda Hubbard from @Carhartt, and I launched the Alliance for America's Skilled Trades. Among other goals, we wanted to build a shared, trusted foundation of data on the state of skilled trades across America. So today, in partnership with Jobs for the Future (JFF) and The Burning Glass Institute, we’re officially publishing — The State of America's Skilled Trades: A National Report. Take a look: https://skilledtradesreport.com The report examines the forces shaping supply and demand across occupations and regions, to show where workforce systems are working well, where they're under strain, and where focused action can make the biggest difference. Alongside the report, we're launching America's Skilled Trades Dashboard — a first-of-its-kind interactive tool that makes the data accessible in one place. It breaks down the data by occupation and state, making it easy to explore local labor market conditions, identify where the need is greatest, and compare progress across regions. The dashboard is available at https://skilledtradesreport.com We also set out to grow this movement. Today, we're welcoming 14 new partners - @ATT, Barton Malow, @blackstone, @CintasCorp, @DEWALTtough, Dycom, @Hersheys, @ManpowerGroup, @Meta, @Microsoft, @MilwaukeeTool, @nvidia, @Verizon and @Waymo. Each has already stepped up individually. Now we're stepping up together. You can read more about today’s news here: https://www.fromtheroad.ford.com/us/en/articles/2026/alliance-for-americas-skilled-trades-expands-national-report #FordAccelerate #Accelerate2026 #SkilledTrades

  2. NVIDIA Blog31

    NVIDIA 开放 2027–2028 学年研究生奖学金申请,每人最高 6 万美元

    NVIDIA 开放第 26 届研究生奖学金计划申请,面向从事 AI、机器学习、自动驾驶、机器人等研究的博士生,每人奖金最高 6 万美元。申请者须已完成至少一年博士阶段学习,并在 2027 年暑期到 NVIDIA 研究办公室线下实习,截止日期为 2026 年 10 月 30 日。该计划自 2002 年启动以来已颁发超 220 份资助,总额约 800 万美元。

    AI 生成摘要 · 以原文为准

9月29日周二
  1. SemiAnalysis72

    SemiAnalysis解析GLM-5.3稀疏注意力如何影响HBM内存占用

    SemiAnalysis撰文分析GLM-5.3的稀疏注意力与DSA架构对HBM内存和推理成本的影响。文章指出top-k选择仍需完整上下文驻留HBM,稀疏注意力并不消除内存容量瓶颈,SGLang的HiSparse通过将KV cache按LRU策略在HBM与主存DRAM间分层换入换出并跨层重叠加载,在高并发长上下文下维持95%以上缓存命中率。

    AI 生成摘要 · 以原文为准

9月28日周一
  1. NVIDIA55

    NVIDIA 联合超过 100 家行业伙伴推出 NVIDIA Open Agent Safety Platform,整合 OpenShell 与 Sentry,定位为安全智能体系统的开放信任层。黄仁勋表示,AI 的潜力只有在人们确信其被安全、负责任地构建和部署时才能实现,安全是赢得信任的方式。

    AI 生成摘要 · 以原文为准

    引用Jensen Huang@JensenHuang

    Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m