搜索“NVIDIA”

e, Google and Amazon going cashflow negative (with Meta not far behind) in pursuit of an indeterminately-large opportunity to sell AI software or rent AI chips (bought from either NVIDIA or Broadcom, see my hater’s guides for more) to either Anthropic and OpenAI or, in Google’s case, Meta. To reiterate what I’ve been saying for a while, big tech has a few issues with the AI buildout: AI chips are extremely expensive; AI data centers take a great deal of time to build and energize; AI services ar

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nstraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now 200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving p

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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nt harness for mathematics and TCS that separates strategy, decomposition, subproblem solving, and verification; claimed results include a Codeforces 4263 and 71.0% on TCS-Bench . NVIDIA-associated work on Agora uses Git commits as shared memory for 13 workers over 12 days, achieving reproducible progress on model initialization without gradient updates. LangChain shared practical lessons from a 200+ tool paid media agent . The common trend is away from vague “agent swarms” and toward explicit m

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ugu MaxとFugu Ultra v2を同時に発表した。複数のAIモデルを連携させる仕組みは共通だが、重視する点が異なる。Fugu Maxはコストを抑えながら高い性能を得ることを目指し、Fugu Ultra v2は複雑で複数の手順を要する課題で、出力の品質を高めることに重点を置いている。 Fugu Maxでは、処理の割り振り先となるモデルを増やしている。NVIDIAのNemotronシリーズが含まれ、公式発表の構成図にはSakana Namazuも呼び出し先として示されている。課題を解決できるモデルの中から、できるだけ軽量なものへ処理を割り振ることでコストを抑えている。 一方、Fugu Ultra v2は、多段階の推論を要する課題や自律的な調査、フルスタックのソフトウェア開発などを想定している。Sakana AIは特に、複雑な視覚情報や構造化データを扱う課題で、継続的に推論する能力を強みとして挙げている。 両モデルはOpenAI互換APIで提供されている。Fugu Maxの発表時のAPI料金は、100万トークン当たり入力2ドル、出力6ドル。APIの月額プランも用意されており、どのプ

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in the world. So it is with the upcoming next generation Lumi-AI supercomputer – which will be one component in what is being called the Lumi AI factory to borrow a term coined by Nvidia – that is being funded by the EuroHPC Joint Undertaking and that will be installed at the Center for Scientific Computation (CSC) facilities in Kajaani, Finland. (Lumi is Finnish for “snow on the ground,” but the mascot of the machine is a white wolf. They could have named the machine “susi,” which is wolf in Fi

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computation by only activating the specific neurons needed for a thought. However, current hardware is natively designed for dense, not sparse, computation. In collaboration with NVIDIA, we developed a new sparse format and CUDA kernels that unlock the performance of sparse neural networks on GPUs, with speed, memory and energy improvements demonstrated on billion-parameter scale LLMs; The AI Picbreeder Experiment: Biological evolution is an open-ended process that has produced an incredible am

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ited riders, starting with dozens of its new Ojai minivans and plans to expand over time. Lucid and Bolt announced a plan to deploy 25,000 autonomous vehicles across Europe, using Nvidia’s Hyperion architecture and targeting Level 4 self-driving. Goldman Sachs sharply raised its humanoid outlook, forecasting the market could reach 6.5M annual shipments and roughly $138B by 2035. The FCC granted Husqvarna the first exemption from restrictions on foreign-made robotics, allowing its Swedish company

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负载，比它如今越来越多被要求运行的工作负载更廉价、更具弹性。” Kubernetes 正在为 AI 而演进，包括针对专用硬件的动态资源分配，以及更智能的批处理作业调度——后者会考虑许多 AI 作业对拓扑和局部性的要求。 不出所料，效率监控和僵尸工作负载排查如今依赖于警惕的 GPU 健康与利用率检查。芯片级可观测性正成为顺畅运营的基本门槛。 Casto 指出，NVIDIA 的数据中心 GPU 管理器（DCGM）是监控的中流砥柱，可用于衡量 GPU 看起来有多忙。“问题就出在‘看起来’这几个字上，”他说。“一块 GPU 在 DCGM 的利用率数字上可能看起来很忙，而实际上它只是待在那里等待[某个其他动作]，比如尚未到达的数据，或者同一作业中落后的另一块 GPU。” 网络活动可能是这些设置中的一个盲点。正因如此，正在进行的 OpenTelemetry 标准工作很重要，Casto 补充道：不同工具必须能够互操作，以关联性能信号。他说，这些努力正在为这种 AI 作业监控建立一套通用词汇。 回归基础：策略与归属 Strukhoff 强调，寻找新型僵尸变体不应掩盖基础工作。组织需要明确的策略来消除僵

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context tasks, saying it is substantially better than old Siri but not intended to compete with downloadable open-weight or frontier models. Apple May Return to Server Market With Nvidia Technology (Activity: 448): Apple is reportedly evaluating an externally sold AI inference server using future M8-series Apple Silicon, with a tentative 2029 timeframe and possible cancellation before launch, per MacRumors . The system could use Nvidia NVLink Fusion for chip-to-chip/inter-accelerator networking,

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operation. So a critical safety question today is whether Physical AI models remain within their task and safety boundaries under adversarial conditions. Simulation tools such as NVIDIA Isaac Sim, when paired with VicOne Radeis , can test the effects of manipulated inputs before deployment. VicOne LAB R7 demonstrates Radeis, a Physical AI safety validator for NVIDIA Isaac Sim that tests how adversarial visual inputs affect robot behavior before deployment. VicOne Layer Two: System vulnerabiliti

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egories. “I do not see why cobots and humanoids should compete,” he said. “A humanoid is robot arms that are mounted on a moving platform, which can be legged or wheeled.” Related:Nvidia-backed Skild AI teaches robots new tasks from a single video The more important distinction, he said, is between robots designed to operate safely around people and conventional industrial systems optimized for speed. Traditional cobots have generally operated at lower speeds to reduce the risk of injury in huma

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sed to have presented them to you. If you have a burr under your saddle about something and you have the technical chops, I am always happy to let you have the soapbox for a story. Reach out. SPONSORED FEATURE: HPE and NVIDIA help organizations apply accelerated computing, software, enterprise infrastructure, networking, control plane, and services to the workloads and business outcomes that matter most. October 1, 2026 September 30, 2026 AMD Buys World Labs For $8.2 Billion To Get AI Model Cred

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h as retrieval. Download the guide . Image source: Salesforce The Rundown: Salesforce just introduced Koa, a new in-house reasoning model for its sales and support agents built on Nvidia’s open Nemotron 3 Super model and adapted for business tasks. The details: The training set is fully synthetic, simulating personas like irate support callers and reps closing deals across over a dozen industries, without using customer data. Koa made 3x fewer errors than top models on an internal CRM benchmark,

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remain small enough to preserve useful model behavior. FP8 KV caching is already widely used; moving to 4 bits is especially challenging because the quantization error is larger. NVIDIA introduced the NVFP4 data format with the Blackwell architecture (Figure 1). NVFP4 combines four-bit E2M1 values with two levels of scaling: an FP8 scale for each block of 16 values and an additional FP32 tensor-level scale. This gives the format finer local control over dynamic range than a single global scale,

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工智能聊天机器人”，这些设施的营运商应承担刑事责任。 德克萨斯州曾是最亲商、最亲数据中心、最亲能源产业的州，曾为争夺这类设施展开激烈竞争。例如，它赢得了埃隆·马斯克（Elon Musk）旗下 SpaceX 人工智能巨头数十亿美元搬迁投资中的大部分，用于生产人工智能晶片。 图像来源， Getty Images 这是一次令人眩晕的转向。人工智能晶片制造商英伟达（Nvidia；辉达）的负责人黄仁勋（Jensen Huang）今年8月登上社交媒体，力陈数据中心是美国再工业化的关键推手。其他科技巨头的首席执行官没有跟进，这或许显示此举在公众眼中颇具争议。 然而，美国的经验表明，谈论对国家经济的整体益处，或潜在的癌症治愈能力，并不总是能引起当地民众的共鸣。数据中心令人感到不安的部分原因在于，这里缺乏真正意义上的常驻员工。 虽然建筑业提供了大量的就业机会，但一个运作正常的数据中心通常只需要数十名员工，即使是规模最大的新建数据中心也只有几百名员工。 要求当地居民接受噪音、彻夜不熄的安保照明，以及对当地能源和水资源供应的压力，并告诉他们这是为了国家利益，这固然容易。但当人工智能公司估值即将突破万亿美元大

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在阿尔特曼发言之后，Meta 首席执行官扎克伯格（Mark Zuckerberg）在 X 上写道，每一家人工智能实验室都有能力、也有动机“采取自己的行动”，去开发以安全为设计原则的人工智能工具和模型。 扎克伯格写道：“任何不重视对齐问题的实验室都会落后。”“各实验室若其模型造成损害，将面临重大法律责任，因此它们同样有强烈的动机去防止这种情况发生。” 英伟达（Nvidia；辉达）负责人黄仁勋（Jensen Huang）在周二同一场会议上也表示，是否发布新版本的相关技术，应由人工智能公司自行决定，而不应由外部力量来管理。 黄仁勋说：“我们不需要新的法律或法规。”他还表示，不应该在人工智能产品的创新速度和安全性之间做出“虚假的取舍”。 英伟达是全球市值最高的公司，其利润因市场对其生产的人工智能运算晶片的旺盛需求而大幅增长。 黄仁勋说：“安全至关重要。不过，安全本质上是一个工程问题。” 他还表示，如果任何时候一家人工智能公司的负责人对自家产品缺乏信心，就应该选择不发布该产品。 黄仁勋说：“这是显而易见的做法⋯⋯尽可能全速前进，但只要你感觉到机构已经失控，就应该暂停下来。” 一些业内人士认为，近

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government requests to access sensitive data from almost 700 customers, the Financial Times reports. Dutch AI-chip startup Euclyd raised $230M in a Samsung-backed round to take on Nvidia with a more energy-efficient inference chip. Instagram is testing a $7.99-a-month Meta One subscription that gives users more access to its new AI photo-editing effects after free usage limits are reached. Maersk plans to test a 115-ft. spinning “rotor sail” from Anemoi on a container ship, using wind to cut fue

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probably still press charges. Jasmine Sun: I guess they informally settled it. My assumption was a handshake: OpenAI gives Hugging Face some money. Nathan Lambert: Waiting for the Nvidia acquisition to close, and then Nvidia sues OpenAI. Jordan Schneider: Part of the settlement: no more Jalapeño. You’re done making your own chips. Nathan Lambert: Part of the settlement might have been, “Look, we’re getting acquired, and we don’t want to open our acquirer up to this can of worms.” That’s not good

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ation. Ex-White House AI czar David Sacks answered Dario Amodei's AI pacing essay with “go ahead,” saying they can slow down but tying it to regulation “will look like blackmail.” Nvidia CEO Jensen Huang put President Donald Trump on speakerphone at the All-In Summit, saying, “we're not going to let that happen” to his AI slowdown concerns. OpenAI reportedly acquired Glass Imaging for over $300M, a startup whose ex-Apple founders built Portrait Mode and now uses AI to produce sharper photos on p

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