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10月2日周五
  1. NVIDIA Blog

    How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast

    中文摘要

    GPT-6 Astra Ultrafast 现已在 OpenAI API 上推出,并可供符合条件的 ChatGPT Work 和 Codex 用户使用。通过 OpenAI 的模型利用 NVIDIA Blackwell 架构的功能,借助推理优化,Ultrafast 的令牌生成速度比 Astra 标准模式快多达 8 倍。对于开发者来说,[…]

    英文原文

    GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the capabilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, […]

10月1日周四
  1. NVIDIA Blog

    Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

    中文摘要

    AI工厂是按兆瓦甚至吉瓦来建造的。每个兆瓦的工厂成本大约为6000万美元,AI工厂的运营商只有在明确看到投资回报的情况下,才会投入如此大规模的资金。影响AI工厂回报的三个关键因素是:盈利能力:工厂一年内可能赚取的金额……

    英文原文

    AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year […]

9月23日周三
  1. NVIDIA Blog

    Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale

    中文摘要

    当Sakeena Fiza描述她在NVIDIA担任验证工程师的工作时,她用的词汇更像是一部侦探故事,而不是世界级的工程实验室。“验证工程师会深入阴影中,并将灯光照射到每一个角落,”Fiza说。“每次我们拿到一个系统时,我们的第一反应是:它……”

    英文原文

    When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the shadows and shine a light into every corner,” Fiza said. “Every time we get a system, our first thought is: how can it […]

9月22日周二
  1. NVIDIA Blog

    Why Deploying Physical AI at Scale Demands Safety at Every Layer

    中文摘要

    物理人工智能正迅速从研究阶段转向大规模部署。到2035年,ABI Research预计自动驾驶汽车(AVs)的安装量将达到4900万辆,级别为3至5级;而Omdia估计,2026年至2035年间,将部署大约6000万台工业机器人。随着这些机器进入与人类共享的道路、工厂、仓库和其他环境,[…]

    英文原文

    Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]