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Discover the latest news and updates from NVIDIA, including the keynote address by CEO Jensen Huang at COMPUTEX 2024 and more exciting developments in the world of NVIDIA.

Nvidia will now make new AI chips every year

原文英文,约500词,阅读约需2分钟。发表于:

Illustration by Alex Castro / The Verge Nvidia just made $14 billion worth of profit in a single quarter thanks to AI chips, and it’s hitting the gas from here on out: Nvidia will now design new chips every year instead of once every two years, according to Nvidia CEO Jensen Huang. “I can announce that after Blackwell, there’s another chip. We’re on a one-year rhythm,” Huang just said on the company’s Q1 2025 earnings call. Until now, Nvidia’s produced a new architecture roughly once every two years — revealing Ampere in 2020, Hopper in 2022, and Blackwell in 2024, for example. (The industry darling H100 AI chip was Hopper, and the B200 is Blackwell, though those same architectures are used in gaming and creator GPUs as well.) But analyst Ming-Chi Kuo reported earlier this... Continue reading…

Nvidia计划每年设计新芯片以满足人工智能需求,CEO表示将于2025年发布新架构“Rubin”,明年推出R100 AI GPU。Nvidia还将加速其他芯片的开发,新一代AI GPU与现有数据中心兼容,主要客户为汽车和互联网公司。

Nvidia will now make new AI chips every year
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Watt a Win: NVIDIA Sweeps New Ranking of World’s Most Energy-Efficient Supercomputers

原文英文,约700词,阅读约需3分钟。发表于:

In the latest ranking of the world’s most energy-efficient supercomputers, known as the Green500, NVIDIA-powered systems swept the top three spots, and took seven of the top 10. The strong showing demonstrates how accelerated computing represents the most energy-efficient method for high-performance computing. The top three systems were all powered by the NVIDIA GH200 Grace Read Article

NVIDIA提供技术的系统在世界最节能超级计算机排名中占据前三名,展示了NVIDIA Grace Hopper架构的高效性。加速计算是高性能计算中最节能的方法,对于加快科学研究至关重要。NVIDIA的加速计算利用GPU优化吞吐量,提高了计算速度和能效。Green500排名突出了高效FP64性能的平台。Grace Hopper架构将CPU和GPU功能融合在一起,提高了性能和能效。

Watt a Win: NVIDIA Sweeps New Ranking of World’s Most Energy-Efficient Supercomputers
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NVIDIA Expands Collaboration With Microsoft to Help Developers Build, Deploy AI Applications Faster

原文英文,约700词,阅读约需3分钟。发表于:

If optimized AI workflows are like a perfectly tuned orchestra — where each component, from hardware infrastructure to software libraries, hits exactly the right note — then the long-standing harmony between NVIDIA and Microsoft is music to developers’ ears. The latest AI models developed by Microsoft, including the Phi-3 family of small language models, are Read Article

NVIDIA在Microsoft Build上展示了与Microsoft Azure和Windows PC集成的解决方案,简化了AI模型部署并优化了路线规划和应用性能。Microsoft开发的最新AI模型正在优化为在NVIDIA GPU上运行,并作为NVIDIA NIM推理微服务提供。NVIDIA还将其他微服务添加到Microsoft Azure Marketplace,如cuOpt路线优化AI。此外,NVIDIA和Microsoft为使用NVIDIA GeForce RTX和NVIDIA RTX GPU的PC开发人员提供了优化和集成。

NVIDIA Expands Collaboration With Microsoft to Help Developers Build, Deploy AI Applications Faster
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New Performance Optimizations Supercharge NVIDIA RTX AI PCs for Gamers, Creators and Developers

原文英文,约900词,阅读约需3分钟。发表于:

NVIDIA today announced at Microsoft Build new AI performance optimizations and integrations for Windows that help deliver maximum performance on NVIDIA GeForce RTX AI PCs and NVIDIA RTX workstations.

NVIDIA与微软合作,在Windows上提供新的AI性能优化和集成,通过使用新的驱动程序、ONNX Runtime和DirectML,大型语言模型的运行速度提高了3倍。WebNN现在通过DirectML加速,使Web应用程序能够融入快速的AI功能。PyTorch将支持DirectML执行后端,使Windows开发人员能够在本地训练和推断复杂的AI模型。

New Performance Optimizations Supercharge NVIDIA RTX AI PCs for Gamers, Creators and Developers
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Every Company to Be an ‘Intelligence Manufacturer,’ Declares NVIDIA CEO Jensen Huang at Dell Technologies World

原文英文,约600词,阅读约需3分钟。发表于:

AI heralds a new era of innovation for every business in every industry, NVIDIA founder and CEO Jensen Huang said Monday during an appearance at Dell Technologies World. “We now have the ability to manufacture intelligence,” Huang said during an on-stage conversation with Dell CEO Michael Dell. “The last industrial revolution was the manufacturing of Read Article

在Dell Technologies World上,NVIDIA创始人兼首席执行官黄仁勋与Dell首席执行官迈克尔·戴尔一同登台,强调生成式人工智能的变革潜力,并宣布与Dell AI Factory的更新。Dell和NVIDIA宣布了Dell AI Factory的一系列更新,包括具有液冷和8个NVIDIA Blackwell GPU的Dell PowerEdge XE9680L服务器,以及用于大规模Blackwell GPU部署的行业最密集、能效最高的机架级解决方案。Dell NativeEdge平台将自动化交付NVIDIA AI Enterprise软件,帮助开发人员和IT运营商轻松部署边缘AI应用和解决方案。Dell和NVIDIA提供了全套的解决方案,包括计算、网络、存储、服务和软件,推动了副驾驶员、编码助手、虚拟客户服务代理和工业数字孪生体等应用的发展。Dell AI Factory与NVIDIA合作,为企业提供从数据中心到边缘的全套AI解决方案,帮助其快速采用和部署规模化的AI。

Every Company to Be an ‘Intelligence Manufacturer,’ Declares NVIDIA CEO Jensen Huang at Dell Technologies World
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NVIDIA, Teradyne and Siemens Gather in the ‘City of Robotics’ to Discuss Autonomous Machines and AI

原文英文,约1000词,阅读约需4分钟。发表于:

Senior executives from NVIDIA, Siemens and Teradyne Robotics gathered this week in Odense, Denmark, to mark the launch of Teradyne Robotics’ new headquarters and discuss the massive advances coming to the robotics industry. One of Denmark’s oldest cities and known as the city of robotics, Odense is home to over 160 robotics companies with 3,700 Read Article

丹麦奥登塞市的Teradyne公司与Universal Robots和MiR合作成立了新总部,讨论了人工智能和合作对机器人技术的影响。丹麦是机器人之城,拥有160多家机器人公司和3700名员工。Teradyne Robotics的新总部将帮助员工最大化协作努力,促进创新,并提供一个革新先进机器人和自主机器的环境。开幕式展示了最新的人工智能机器人应用,并举行了关于先进机器人未来的座谈会。全球机器人市场继续快速增长,欧洲的协作机器人市场在2022年价值2.86亿美元,预计到2032年将达到67亿美元,年增长率超过37%。NVIDIA和Teradyne Robotics的合作展示了合作在生态系统中的强大力量。NVIDIA作为物理AI硬件提供商,通过加速计算推动协作机器人和自主移动机器人领域的发展。

NVIDIA, Teradyne and Siemens Gather in the ‘City of Robotics’ to Discuss Autonomous Machines and AI
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Fire It Up: Mozilla Firefox Adds Support for AI-Powered NVIDIA RTX Video

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Mozilla Firefox, the popular open-source browser, is the latest partner to incorporate NVIDIA RTX Video, a technology that uses AI to improve video quality on Windows PCs and workstations.

Mozilla Firefox最新版本(v126)支持NVIDIA RTX GPU的AI升级和高动态范围,提高了在线视频的质量。RTX Video Super Resolution通过深度学习预测高分辨率版本,提供更清晰的图像。RTX Video HDR通过AI神经网络添加高动态范围信息,提高可见度和细节。Firefox加入了支持RTX Video的其他基于Chromium的浏览器。用户只需更新驱动程序并打开相关设置即可使用RTX Video。

Fire It Up: Mozilla Firefox Adds Support for AI-Powered NVIDIA RTX Video
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Gemma, Meet NIM: NVIDIA Teams Up With Google DeepMind to Drive Large Language Model Innovation

原文英文,约800词,阅读约需3分钟。发表于:

Large language models that power generative AI are seeing intense innovation — models that handle multiple types of data such as text, image and sounds are becoming increasingly common. However, building and deploying these models remains challenging. Developers need a way to quickly experience and evaluate models to determine the best fit for their use Read Article

NVIDIA和Google在Google I/O '24上宣布了三个新的合作项目,旨在帮助开发者更轻松地创建AI应用。合作包括优化三个新模型Gemma 2、PaliGemma和RecurrentGemma的性能和效率。他们还宣布,开源GPU dataframe库RAPIDS cuDF现在支持Google Colab,使开发者能够加速数据分析。此外,他们还宣布了关于Firebase Genkit的合作,使应用开发者能够将生成式AI模型集成到他们的Web和移动应用中。NVIDIA和Google Cloud的合作旨在推动AI在多个领域的发展。

Gemma, Meet NIM: NVIDIA Teams Up With Google DeepMind to Drive Large Language Model Innovation
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NVIDIA to Help Elevate Japan’s Sovereign AI Efforts Through Generative AI Infrastructure Build-Out

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Following an announcement by Japan’s Ministry of Economy, Trade and Industry, NVIDIA will play a central role in developing the nation’s generative AI infrastructure as Japan seeks to capitalize on the technology’s economic potential and further develop its workforce. NVIDIA is collaborating with key digital infrastructure providers, including GMO Internet Group, Highreso, KDDI Corporation, RUTILEA, Read Article

日本经济产业省宣布将投资超过7.4亿美元在人工智能基础设施上,与NVIDIA和本地公司合作。NVIDIA将在发展国家生成式人工智能基础设施方面发挥核心作用。日本希望利用该技术的经济潜力并进一步发展其劳动力。

NVIDIA to Help Elevate Japan’s Sovereign AI Efforts Through Generative AI Infrastructure Build-Out
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【外评】英伟达™(NVIDIA®)开放式 GPU Linux 内核驱动程序即将成为“图灵”及将来 GPU 的默认设置

原文约1200字,阅读约需3分钟。发表于:

据推测,对于下一代/未来的 GPU,他们可能最终只支持那些采用 "开放式 "内核驱动程序的未来 GPU 架构,而将专有驱动程序留给现有/传统产品使用。

英伟达计划在GeForce RTX 2000及更新版本中默认使用开源GPU内核驱动程序。他们最近发布了针对Linux的开源GPU内核驱动程序,性能与专有代码类似。从R560系列开始,他们建议尽可能使用开放的英伟达Linux内核模块。这一变化可能意味着未来的GPU只支持开源内核驱动程序。需要注意的是,开源GPU内核驱动程序目前仅支持其内核驱动程序。用户空间驱动程序方面的开源转变尚未明确。

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