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| 账号 | 用户名 | 已存推文 | 最近同步 | 错误 |
|---|---|---|---|---|
| Serenity | @aleabitoreddit | 588 | 2026-07-17 20:00:04 | - |
| Elon Musk | @elonmusk | 996 | 2026-07-17 20:00:07 | - |
| NVIDIA | @nvidia | 222 | 2026-07-17 20:00:08 | - |
| 孙宇晨（去过太空版）🧑🚀 | @sunyuchentron | 220 | 2026-07-17 20:00:09 | - |
@Midnight_Captl 💚
@ Midnight_Captl 💚
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Nations have always invested in critical infrastructure to grow their economies and improve citizens’ lives, from transportation and communications to commerce, entertainment and healthcare. Today, AI is the most important layer of that infrastructure. It is turbocharging innovation across every facet of society. That's why countries are now investing in AI capabilities that let them design, train and deploy models using: 🏗️ Domestic infrastructure 📊 Local datasets 🌱 Homegrown expertise This approach ensures AI solutions are tailored to local citizens, services and regulations, and that systems reflect each nation’s unique needs and priorities. Learn More:
从交通和通信到商业、娱乐和医疗保健，各国一直投资于关键基础设施，以发展经济并改善公民生活。 如今，人工智能是基础设施中最重要的一层。它正在推动社会各个方面的创新。 这就是为什么各国现在正在投资人工智能功能，使他们能够使用以下方式设计、训练和部署模型： 🏗️ 国内基础设施 📊 本地数据集 🌱 本土专业知识 这种方法确保人工智能解决方案针对当地公民、服务和法规量身定制，并确保系统反映每个国家的独特需求和优先事项。 了解更多。
Jensen. @SEGA. Akihabara. 🎮 Some collabs are just meant to be. We stepped into the heart of Tokyo's most legendary gaming district to celebrate decades of shared history, and the next era with @NVIDIARTXSpark.
Jensen。@世嘉。秋叶原。 🎮 有些合作只是命中注定。 我们走进东京最具传奇色彩的游戏区的中心，与@ NVIDIARTXSpark一起庆祝数十年的共享历史和下一个时代。
Read the blog: nvda.ws/4hgaxW1
阅读博客： nvda.ws/4hgaxW1
Japan's biggest banks spent the last few years evaluating AI. Now they're building the infrastructure for it. 🏭 We're working with Mizuho, SMFG, Rakuten Bank, and MUFG NICOS to build the AI factories making that possible — using NVIDIA Nemotron open models and Agent Toolkit to turn regulated financial data into intelligence.
过去几年，日本最大的银行都在评估人工智能。现在他们正在为此构建基础设施。 🏭 我们正在与瑞穗、SMFG、乐天银行和MUFG NICOS合作，建立人工智能工厂，使用NVIDIA Nemotron开放模型和代理工具包将受监管的金融数据转化为智能。
Building a production-ready vision AI agent no longer takes thousands of developer hours. NVIDIA Metropolis offers 80+ open agent skills for generating synthetic data, fine-tuning models, deploying applications and unlocking real-time insights, all through natural-language prompts. Leading companies like @FujitsuOfficial, @Hitachi, @OMRON_Official, @YazakiNA, and Shimizu Corporation are using Metropolis to bring agentic vision AI into manufacturing and critical infrastructure.
构建生产就绪的视觉AI代理不再需要数千个开发人员小时。 NVIDIA Metropolis提供80多种开放式代理技能，可通过自然语言提示生成合成数据、微调模型、部署应用程序和解锁实时见解。 像@ FujitsuOfficial、@ Hitachi、@ OMRON_Official、@ YazakiNA和Shimizu Corporation这样的领先公司正在利用Metropolis将代理视觉人工智能引入制造业和关键基础设施。
一、昨日热点 实验猴：昭衍新药 创新药：哈药股份 影视：儒意电影 零售：宁波中百 股权变更：艾艾精工 中报业绩：九安医疗、中利集团、中嘉博创 二、7款AI手机备案信息公布 1、与上市公司相关的两家：小米澎湃AI、努比亚豆包手机大模型。 2、记者独家获悉字节跳动联合中兴努比亚打造的首款 AI 智能体手机今年将有多款机型发布，其中一款将于 2026 世界人工智能大会期间亮相，其整体备货约20万台，首批备货10万台以内。 3、《科创板日报》获悉，阿里千问将作为AI能力集成至Apple智能，为 iOS、iPadOS、macOS和visionOS的中国用户带来智能体验。苹果与百度将合作，百度重点开发一种基于人工智能的搜索功能，作为苹果智能功能套件的一部分，能够处理图像和文本，并升级为中国版的 Siri语音助手。 努比亚豆包手机：道明光学、中兴通讯 小米手机：小米集团（港股） 苹果手机（阿里）：数据港 三、荣耀IPO进展报告 7月15日，中信证券在官网披露了关于荣耀终端股份有限公司首次公开发行股票并上市辅导工作进展情况报告（第三期）。（此前传闻终止） 荣耀IPO：天音控股、爱施德 四、行业要闻 1、华测检测：全资子公司开展实验猴繁育养殖，向上游布局实验动物资源。（互动平台） 2、上海考察时强调，高质量推进城市更新。（中华企业、城投控股） 3、越疆科技创业板IPO将于7月22日上会。（大众公用） 4、英伟达黄仁勋表示，Vera Rubin计算平台进展顺利，已投入生产。 5、腾讯云：8月1日起 对云数据库MySQL存储空间超用计费。 6、阿斯麦在最近几周告知部分客户，计划对其深紫外（DUV）光刻系统提价10%。
Learn more: nvda.ws/4gEPj3V
了解更多： nvda.ws/4gEPj3V
Japan’s enterprises, startups and research institutions are building industry-specialized AI with NVIDIA Nemotron open models, data and libraries, helping advance AI tailored to the country’s language, industries and workforce.
日本的企业、初创公司和研究机构正在利用NVIDIA Nemotron开放模型、数据和库构建行业专用人工智能，帮助推进针对该国语言、行业和劳动力量身定制的人工智能。
RT @Box: The #BoxWorks agenda is live, and @nvidia CEO Jensen Huang is taking the main stage. Jensen will join Box CEO @levie for a keynot…
RT @ Box ： # BoxWorks议程现已上线， @ nvidia首席执行官Jensen Huang将登上主舞台。 Jensen将加入Box首席执行官@ levie进行主题演讲……
Read the blog →
阅读文章
Above, NVIDIA GB300 NVL72 systems deliver up to 25x performance per watt over Hopper.
上述NVIDIA GB300 NVL72系统通过Hopper提供高达25倍的性能功耗比。
A full Pareto allows you to see exactly where your workload sits and how to optimize for it.
完整的Pareto可让您准确了解工作负载的位置以及如何对其进行优化。
Throughput or interactivity? It isn't one or the other — it depends on the workload.
吞吐量还是交互性？它不是一个或另一个—它取决于工作负载。
Optimize for one, and you move away from the other.
针对其中一个进行优化，然后您就离开了另一个。
Any single performance number only tells part of the story. AI Infrastructure performance is a Pareto Curve 🧵
任何单一的表演数字都只能讲述故事的一部分。人工智能基础设施性能是帕累托曲线 🧵
RT @NVIDIAAI: First stop in Japan: Build-a-Claw. 🇯🇵 Jensen made a surprise stop in the heart of Tokyo to meet with devs, give away some DG…
RT @ NVIDIAAI ：在日本的第一站： Build-a-Claw。 🇯🇵 Jensen在东京市中心突然停留，与开发人员见面，放弃了一些DG……
RT @NVIDIAGeForce: Jensen joined @SEGA_OFFICIAL leaders in Tokyo to celebrate a partnership built over decades of gaming innovation - from…
RT @NVIDIAGeForce：Jensen 与 @SEGA_OFFICIAL 的领导层齐聚东京，共同庆祝双方数十年来在游戏创新领域建立的合作伙伴关系——从……
RT @NVIDIAGeForce: Akihabara visit checklist for Jensen: ✅ @NVIDIARTXSpark ✅ @SEGA_OFFICIAL's VIRTUA FIGHTER CROSSROADS ✅ Gamers ready for…
RT @ NVIDIAGeForce ： Jensen的秋叶原访问清单： ✅ @ NVIDIARTXSpark ✅ @ SEGA_OFFICIAL的VIRTUA FIGHTER CROSSRO ✅ 游戏玩家已准备好……
Learn more: nvda.ws/4fyJljZ
了解更多： nvda.ws/4fyJljZ
Enterprises need AI they can trust, control and customize. Open models give teams the visibility and ownership to evaluate AI against their standards, specialize AI with domain knowledge, and improve accuracy and efficiency.
企业需要可以信任、控制和定制的人工智能。 开放模型为团队提供了可见性和所有权，以根据其标准评估AI ，利用领域知识专门化AI ，并提高准确性和效率。
From benchmark to production, NVIDIA GB300 NVL72 delivers industry-leading performance per watt to maximize revenue and deliver the lowest token cost to improve profit margins, providing a reliable foundation for production inference used by leading AI labs and enterprises. Learn more: nvda.ws/4gDZSUT
从基准测试到生产， NVIDIA GB300 NVL72提供业界领先的每瓦性能，以最大限度地提高收入，并提供最低的代币成本，以提高利润率，为领先的人工智能实验室和企业使用的生产推理提供可靠的基础。 了解更多： nvda.ws/4gDZSUT
On Kimi K2.6, NVIDIA GB300 NVL72 systems deliver up to 10× higher performance per watt than NVIDIA Hopper.
在Kimi K2.6上， NVIDIA GB300 NVL72系统的性能功耗比比NVIDIA Hopper高10倍。
On GLM 5.1, NVIDIA GB300 NVL72 systems deliver up to 20× higher performance per watt than NVIDIA Hopper.
在GLM 5.1上， NVIDIA GB300 NVL72系统的性能功耗比比NVIDIA Hopper高出20倍。
On DeepSeek V4 Pro, NVIDIA GB300 NVL72 systems deliver up to 25× higher performance per watt than NVIDIA Hopper.
在DeepSeek V4 Pro上， NVIDIA GB300 NVL72系统的性能功耗比比NVIDIA Hopper高25倍。
⚡ Performance per watt is the foundational metric for every AI factory today operating in a power-constrained environment. 🧵
⚡ 性能功耗比是当今每个人工智能工厂在功率受限的环境中运行的基本指标。 🧵
Leading companies are already compounding value with full-stack open inference software on NVIDIA Blackwell: Baseten used TensorRT LLM to serve DeepSeek V4 Pro on Blackwell, applying proprietary runtime optimizations to deliver up to 50% more tokens per second for reasoning, coding, and long-context workloads. Cognition uses NVIDIA Dynamo to manage inference GPUs like NVIDIA Blackwell, giving its team a ready-made path to scale reinforcement learning workloads by seamlessly managing the lifecycle of inference engines. Deep Infra runs frontier open source models on Blackwell from day zero using the NVIDIA inference software stack, including DeepSeek V4. DigitalOcean enabled (tag) Hippocratic AI to use NVIDIA inference software on Blackwell to increase throughput 30% while maintaining sub-half-second time to first response — across 10 million patient calls. Together AI used TensorRT-LLM on Blackwell to help (tag) Cursor accelerate from model optimizations to production endpoints for its real-time coding experience. Read the blog:
领先的公司已经在NVIDIA Blackwell上使用全栈开放式推理软件来复合价值： Baseten使用TensorRT LLM为Blackwell上的DeepSeek V4 Pro提供服务，应用专有的运行时优化，为推理、编码和长上下文工作负载每秒提供高达50%的令牌。 Cognition使用NVIDIA Dynamo管理NVIDIA Blackwell等推理GPU ，通过无缝管理推理引擎的生命周期，为其团队提供了扩展强化学习工作负载的现成途径。 Deep Infra使用NVIDIA推理软件堆栈（包括DeepSeek V4 ）从零开始在Blackwell上运行前沿开源模型。 DigitalOcean支持(TAG) Hippocratic AI在Blackwell上使用NVIDIA推理软件，以提高30%的吞吐量，同时保持首次响应的半秒钟时间—超过1000万次患者呼叫。 人工智能共同在Blackwell上使用TensorRT-LLM来帮助(TAG) Cursor加速从模型优化到生产端点的实时编码体验。 阅读文章
This ensures that every layer benefits when any layer improves.
这样可以确保每个图层在任何图层改进时都能受益。
Open source multiplies the full-stack advantage. PyTorch has surpassed 700 million PyPI downloads with CUDA support — co-evolved with a decade of NVIDIA architecture advances.. Open source frameworks built on CUDA mean every AI breakthrough runs on NVIDIA from day one. NVIDIA
开源使全栈优势倍增。 借助CUDA支持， PyTorch的PyPI下载量已超过7亿次，这与NVIDIA十年来的架构进步相得益彰。基于CUDA构建的开源框架意味着从第一天起， NVIDIA的每一项人工智能突破都将在NVIDIA上运行。 英伟达车队
When the full inference stack works as one system, individual optimizations compound. Disaggregated serving, large expert parallelism over NVIDIA NVLink interconnect technology, NVFP4 precision and multi-token prediction each deliver meaningful gains on their own. Together, they increase throughput up to 20x on NVIDIA Blackwell.
当完整的推理堆栈作为一个系统工作时，个体优化就会复合。 通过NVIDIA NVLink互连技术、NVFP4精确度和多令牌预测实现分解式服务、大型专家级并行度，各自都能带来有意义的收益。 它们共同将NVIDIA Blackwell的吞吐量提高了20倍。
That's 5x lower token cost from software in just one month — on the same hardware.
在短短一个月内，在同一硬件上，软件的代币成本降低了5倍。
With software optimizations alone, NVIDIA has delivered 5x more tokens from the same GPUs and power envelope, and the pace is accelerating.
仅通过软件优化， NVIDIA就从相同的GPU和功率包络中提供了5倍多的令牌，并且速度正在加快。
As organizations move from AI pilots to production, infrastructure decisions have shifted from peak chip specs to cost per token: how many useful tokens they can deliver per dollar, per watt, and within required latency targets. NVIDIA's full-stack inference software continuously improves hardware performance — so that number keeps improving, even after deployment. See the 🧵
随着组织从人工智能试点转向生产，基础设施决策已经从峰值芯片规格转向每个代币的成本：每美元、每瓦特以及在要求的延迟目标内可以提供多少有用的代币。 NVIDIA的全栈推理软件不断提高硬件性能，因此即使在部署后，硬件性能也在不断提高。 请访问
Register by July 15 to save up to 25%: nvda.ws/4eXR3UJ
请在7月15日前注册，节省高达25%的费用： nvda.ws/4eXR3UJ
What’s the saying about the early bird and the worm? 🐦🪱 #NVIDIAGTC Berlin discounted pricing is available for a limited time only - join us for the latest in AI, accelerated computing, robotics, simulation, and more.
关于早起的鸟和蠕虫有什么说法？ 🐦🪱 # NVIDIAGTC柏林折扣价格仅在有限的时间内提供-加入我们，了解最新的人工智能、加速计算、机器人技术、模拟等。
📖 Read the success story here: nvda.ws/4voFTOl
在此处📖阅读成功案例： nvda.ws/4voFTOl
AI factories don’t have to be a strain on the grid. Instead, they can be an energy supplier⚡ Emerald AI's Conductor platform, developed using the NVIDIA Vera Rubin DSX AI Factory reference design, is leading the way for power-flexible AI factories — built to come onto the grid faster without impacting existing power needs.
人工智能工厂不必成为电网的压力。相反，他们可以成为能源供应商⚡ Emerald AI的Conductor平台使用NVIDIA Vera Rubin DSX AI Factory参考设计开发，正在引领电源灵活的人工智能工厂的发展，该工厂可以更快地进入电网，而不会影响现有的电力需求。
→ Watch the full interview: nvda.ws/4ybqvXq
→ 观看完整采访： nvda.ws/4ybqvXq
Every AI response you've ever gotten started with an electron. ⚡ In a recent interview with Sequoia Capital, Jensen Huang described AI infrastructure as a five-layer cake, and at the very bottom, before chips, before data centers, before models, is energy. That's the binding constraint on the Intelligence Age: not compute, not software — watts. This is why NVIDIA calls AI factories the dynamos of our era. They take in electrons and send out tokens of intelligence. We're a few hundred billion dollars into what Jensen calls the largest infrastructure buildout in human history. Trillions more to go. The question isn't whether AI will scale. It's whether the energy grid can keep up. ⬆️
你所经历的每一个人工智能响应都是从电子开始的。 ⚡ 在最近接受红杉资本采访时， Jensen Huang将人工智能基础设施描述为五层蛋糕，在最底层，在芯片之前，在数据中心之前，在模型之前，是能源。 这就是智能时代的约束条件：不是计算，不是软件，而是瓦特。 这就是为什么英伟达将人工智能工厂称为我们这个时代的发电机。它们吸收电子并发出智能代币。我们投入了几千亿美元， Jensen称之为人类历史上最大的基础设施建设。还有数万亿。 问题不在于人工智能是否会扩展。问题在于电网能否跟上。 ⬆️
RT @NVIDIAAIInfra: 📣 An #NVIDIADGX GB300 system will become operational at @NPS_Monterey this month. To enrich AI skills for officers and…
RT @ NVIDIAAIInfra ： 📣 # NVIDIADGX GB300系统将于本月在@ NPS_Monterey投入使用。 丰富军官和……的人工智能技能
@perplexity_ai 💚
RT @AravSrinivas: The DGX Spark is an incredible piece of hardware. Running it to almost full GPU and RAM utilization and it still doesn’t…
RT @ AravSrinivas ： DGX Spark是一款令人难以置信的硬件。将它运行到几乎完全的GPU和RAM利用率，但它仍然没有……
Learn more: nvda.ws/44mMOfd
了解更多： nvda.ws/44mMOfd
The classroom is being reimagined — and NVIDIA is bringing together the people building what's next. At SIGGRAPH 2026, join an expert panel for How AI Is Changing Education — a candid look at how AI is reshaping the way students learn, educators teach, and institutions deliver
教室正在重新构想， NVIDIA正在将人们聚集在一起，构建下一步。 在SIGGRAPH 2026 ，加入一个关于人工智能如何改变教育的专家小组--坦率地看待人工智能如何重塑学生学习、教育工作者教学和机构交付的方式
NVIDIA teams run ChatGPT Work to automate workflows, surface insights faster, and cut operation costs. Our full-stack collaboration continues to scale. GPT-5.6 builds on GPT-5.5, trained and run on NVIDIA GB200 and GB300 NVL72 rack-scale systems. Congratulations to the @OpenAI
NVIDIA团队运行ChatGPT Work ，以实现工作流程自动化、更快地呈现见解并降低运营成本。 我们的全栈协作继续扩大。GPT-5.6基于GPT-5.5构建，经过培训并在NVIDIA GB200和GB300 NVL72机架式系统上运行。 恭喜@ OpenAI
Every @NVIDIAGeForce generation has a story. Which graphics card and game started yours? Tell us below. 👇 #CollectRTX
每一代@ NVIDIAGeForce都有一个故事。 哪款显卡和游戏开启了您的旅程？请在下方告诉我们。👇# CollectRTX
Congrats to @SpaceXAI on Grok 4.5 — trained on NVIDIA GB300 NVL72 systems and purpose-built for coding, agentic tasks, and knowledge work. This is what happens when world-class AI infrastructure meets world-class AI research.
恭喜@ SpaceXAI推出Grok 4.5 —经过NVIDIA GB300 NVL72系统培训，专为编码、代理任务和知识工作而设计。当世界一流的人工智能基础设施与世界一流的人工智能研究相结合时，就会发生这种情况。
@LangChain Learn more: nvda.ws/3RqdAQW
@ LangChain了解更多： nvda.ws/3RqdAQW
Every company has specialized intelligence that sets it apart. With @langchain, we’re helping enterprises turn that knowledge into specialized agents they can customize, secure and improve over time.
每家公司都有与众不同的专业情报。 借助@ langchain ，我们正在帮助企业将这些知识转化为专业代理，他们可以随着时间的推移进行定制、保护和改进。
See how we’re working with LangChain to pair benchmark-leading agent performance with an open stack enterprises can own, customize and run anywhere: blogs.nvidia.com/blog/nemotron-…
了解我们如何与LangChain合作，将基准测试领先的代理性能与企业可以在任何地方拥有、定制和运行的开放堆栈相结合： blogs.nvidia.com/blog/nemotron-……
Enterprises don’t just need agents that perform. They need agents they can shape, govern and improve as their business evolves. That’s the idea behind our work with LangChain. Read more:
企业不仅仅需要表现出色的代理商。他们需要能够随着业务发展而塑造、管理和改进的代理。 这就是我们与LangChain合作背后的想法。 阅读更多.
Learn more: nvda.ws/4yoIBFM
了解更多： nvda.ws/4yoIBFM
Join NVIDIA for AI in Production Day at SIGGRAPH 2026. 🎥 On Thursday, July 23, explore how generative and agentic AI are moving into real-world creative pipelines through a full day of sessions focused on film, animation, storytelling, and production workflows. Hear from industry experts on how AI is helping teams direct generative video, support artist-centered pipelines, modernize animation and VFX workflows, and reshape the infrastructure behind production. 📍 Los Angeles | Room 502A 🗓️ Thursday, July 23 | 9 a.m.–3 p.m. PT
在SIGGRAPH 2026的生产日加入NVIDIA for AI。 🎥 7月23日（周四） ，探索生成式和代理式人工智能如何通过一整天的会议进入现实世界的创意管道，重点关注电影、动画、讲故事和制作工作流程。 聆听行业专家介绍人工智能如何帮助团队指导生成视频、支持以艺术家为中心的管道、实现动画和视觉特效工作流程的现代化，以及重塑生产背后的基础设施。 📍 洛杉矶| 502A房间 7月23🗓️日星期四|太平洋时间上午9点至下午3点
📖 Read this inspiring success story on how AI is democratizing medical knowledge globally: nvda.ws/3RnB5dp
📖 阅读这个鼓舞人心的成功案例，了解人工智能如何在全球范围内实现医学知识的民主化： nvda.ws/3RnB5dp
🌍 20 million lives impacted every single year. That is the power of technology when it is purposefully engineered to serve humanity. In many low and middle-income countries, healthcare professionals face immense barriers such as unreliable internet, a lack of localized content, and language gaps that can delay critical care. To bridge this gap, Techies Without Borders built an AI-powered experimental platform that acts as a localized "doctor's assistant." Frontline workers can now type in a medical query and receive an instant, evidence-based answer in their own language. Thanks to NVIDIA AI and accelerated computing, medical insights that used to take 5 agonizing minutes to load are now delivered in just 2 seconds. And because it runs locally on edge devices, a lack of internet connection is no longer a barrier to saving lives. This isn't just a technical achievement; it's a lifeline for clinics facing severe physician shortages.
每年有🌍2000万人的生命受到影响。 当技术被有意识地设计为人类服务时，这就是技术的力量。在许多低收入和中等收入国家，医疗保健专业人员面临着巨大的障碍，例如互联网不可靠、缺乏本地化内容以及可能延误重症监护的语言差距。 为了弥合这一差距， Techies Without Borders建立了一个人工智能驱动的实验平台，充当本地化的“医生助理”。“一线工作人员现在可以输入医疗查询，并以自己的语言获得即时的循证答案。得益于NVIDIA AI和加速计算，过去需要5分钟才能加载的医疗洞察现在只需2秒即可完成。而且由于它在边缘设备上本地运行， 互联网连接不再是拯救生命的障碍。这不仅仅是一项技术成就；它是面临严重医生短缺的诊所的生命线。
@Instacart Read the success story: nvda.ws/4xQkVtl
@ Instacart阅读成功案例： nvda.ws/4xQkVtl
@Instacart is bringing real-time intelligence to the grocery aisle. 🛒 With NVIDIA Jetson powering Caper Carts and NVIDIA Dynamo supporting faster recommendations, Instacart is using physical AI to personalize shopping experiences, improve in-store visibility and help retailers drive measurable business impact. The results: 65% lower whole-page ranking latency, more than 5% lift in click-through rates and Caper Cart deployments across 100+ cities.
@ Instacart正在为杂货店过道带来实时智能。 🛒 随着NVIDIA Jetson为Caper Carts提供支持， NVIDIA Dynamo支持更快的推荐速度， Instacart正在使用物理AI来个性化购物体验，提高店内曝光率，并帮助零售商推动可衡量的业务影响。 结果：整个页面的排名延迟降低了65 ％ ，点击率提高了5 ％以上， Caper Cart在100多个城市的部署。
NVIDIA Vera: The Max Single-Threaded CPU at Scale. Agentic AI systems run sequentially, each reasoning step, tool call, and code execution happens one at a time on the CPU. When that CPU slows under load, the entire agentic loop slows and valuable GPUs go underutilized. A max single-threaded CPU at scale keeps every agent step fast, even when the system is fully loaded. That's what NVIDIA Vera is built to do, and why Perplexity is already building on it. Read More
NVIDIA Vera ：可扩展的最大单线程CPU。 Agentic AI系统依次运行，每个推理步骤、工具调用和代码执行在CPU上一次一个地发生。当CPU在负载下变慢时，整个代理循环变慢，宝贵的GPU未充分利用。 大规模的最大单线程CPU使每个代理步骤保持快速，即使系统已满载。这就是NVIDIA Vera的宗旨，也是Perplexity在此基础上不断发展的原因。 了解更多
Check out our sessions: nvda.ws/44KNNWA
查看我们的会议： nvda.ws/44KNNWA
🌍 At the #AIforGood Summit in Geneva, we are helping shape how AI is built for global impact. From closing the infrastructure gap and expanding access to compute to advancing digital trust in an era of autonomous systems, we are working with leaders across sectors to ensure AI benefits everyone—not just a few. As adoption scales, trust is becoming the defining challenge. Conversations focus on building AI ecosystems that connect data, governance, and collaboration—moving from fragmented efforts to integrated, scalable systems. NVIDIA is also joining global music leaders, including John Legend, to explore how generative AI is transforming creativity and raising new questions about ownership, collaboration, and human expression. Across every discussion, building AI for good requires infrastructure, trust, and global cooperation.
🌍 在日内瓦举行的# AIforGood峰会上，我们正在帮助塑造人工智能的全球影响力。 从缩小基础设施差距和扩大计算接入，到在自主系统时代推进数字信任，我们正在与各行各业的领导者合作，确保人工智能造福所有人，而不仅仅是少数人。 随着采用规模的扩大，信任正在成为决定性的挑战。对话的重点是构建连接数据、治理和协作的人工智能生态系统--从分散的工作转向集成、可扩展的系统。 NVIDIA还与包括John Legend在内的全球音乐领导者一道，探索生成式人工智能如何改变创造力，并提出有关所有权、协作和人类表达的新问题。 在每次讨论中，构建良好的人工智能需要基础设施、信任和全球合作。
See what researchers are building: nvda.ws/44MhoyW
查看研究人员正在构建的内容： nvda.ws/44MhoyW
Open models are becoming the foundation for modern AI research. At #ICML2026, 145 accepted papers cite NVIDIA Nemotron models and datasets, 74 NVIDIA papers were accepted, and ~2,000 accepted papers cite NVIDIA GPUs.
开放模型正在成为现代人工智能研究的基础。 在# ICML2026上， 145篇被接受的论文引用了NVIDIA Nemotron型号和数据集， 74篇NVIDIA论文被接受，约2,000篇被接受的论文引用了NVIDIA GPU。
RT @ClementDelangue: As America turns 250, we put together 250 open AI milestones from the US: open models, datasets, demos, papers, and to…
RT @ ClementDelangue ：随着美国年满250岁，我们汇集了来自美国的250个开放式人工智能里程碑：开放模型、数据集、演示、论文，以及……
Happy 250th birthday, America! Founded in Silicon Valley over three decades ago, NVIDIA's roots in American innovation run deep. Today, we're proud to partner with the companies, scientists, developers, and builders using AI to accelerate progress and solve hard problems. Here’s to the next 250 years of American ingenuity, discovery, and breakthroughs.
美国， 250岁生日快乐！ NVIDIA三十多年前在硅谷创立，在美国的创新根基根深蒂固。 今天，我们很自豪能够与使用人工智能的公司、科学家、开发人员和建筑商合作，加快进展并解决困难问题。 以下是美国未来250年的独创性、发现和突破。
RT @valaratomics: Today, Valar Atomics became the first nuclear startup to make electricity, and we did it by powering an NVIDIA Spark. Th…
RT @ valaratomics ：今天， Valar Atomics成为第一家发电的核电初创公司，我们通过为NVIDIA Spark供电来实现这一目标。 周四
@BeamrVideo is raising the bar for live sports streaming with NVIDIA RTX Video Super Resolution, enabling premium 4K/1080p experiences that are quality-validated, bitrate-efficient, and ready to deliver without rethinking the entire workflow.
@ BeamrVideo通过NVIDIA RTX视频超高分辨率提升了体育直播的标准，实现了经过质量验证、比特率高效且随时可交付的优质4K/1080p体验，而无需重新考虑整个工作流程。
Read more: nvda.ws/4amGJmA
阅读更多： nvda.ws/4amGJmA
Thank you to the partners across America helping bring the supply chain home. In 43 states and growing, NVIDIA’s network of American partners and suppliers spans semiconductors, boards, systems, racks, and more. Together, we’re helping create the tools for better healthcare, breakthrough scientific discovery, stronger industrial productivity, and global technology leadership.
感谢美国各地的合作伙伴帮助将供应链带回家。 在43个州， NVIDIA的美国合作伙伴和供应商网络遍布半导体、电路板、系统、机架等。 我们共同帮助创建工具，以实现更好的医疗保健、突破性的科学发现、更强大的工业生产力和全球技术领先地位。
🔗 Read more: nvda.ws/4eV4Da2
🔗 阅读更多： nvda.ws/4eV4Da2
AI is shifting from model training to always-on token production, and that shift demands a new business model. NVIDIA is partnering with AI clouds to deploy large‑scale, multi‑tenant AI factories through revenue-sharing and credit-support. This opens up compute access to the fast‑growing AI ecosystem of startups, model builders, enterprises, research organizations and regional AI players.
人工智能正在从模型训练转向始终在线的代币生产，这种转变需要一种新的商业模式。 英伟达正在与人工智能云合作，通过收入分享和信用支持来部署大型多租户人工智能工厂。这为快速增长的初创公司、模型构建者、企业、研究机构和区域人工智能参与者的人工智能生态系统提供了计算访问权限。
Read more about Jaiveer and the Isaac ROS team’s work here: nvda.ws/3SDSqza
在此处阅读有关Jaiveer和Isaac ROS团队工作的更多信息： nvda.ws/3SDSqza
Before a robot can change the world, it needs software that builders can trust. NVIDIA robotics engineer Jaiveer Singh leads the team behind Isaac ROS, an open source platform helping developers build autonomous mobile robots, manipulation systems and humanoids with modular, CUDA-accelerated libraries and AI models. “When more people can build robots,” he says, “the future gets here faster.”
在机器人能够改变世界之前，它需要构建者可以信任的软件。 NVIDIA机器人工程师Jaiveer Singh领导Isaac ROS背后的团队， Isaac ROS是一个开源平台，通过模块化的CUDA加速库和人工智能模型帮助开发人员构建自主移动机器人、操作系统和人形。 “当更多的人可以建造机器人时，”他说， “未来会更快到来。”
RT @nvidiaomniverse: Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operationa…
RT @ nvidiaomniverse ：视觉人工智能代理正在成为自动将视频数据从物理世界转化为操作的实用方法……
See how AI is creating new opportunities to build in America:
了解人工智能如何在美国创造新的发展机会：
In this way, the five-layer cake of AI is enabling America to build new industries and reimagine existing ones. It’s helping to increase productivity, add jobs, and bolster the U.S. economy.
通过这种方式，人工智能的五层蛋糕使美国能够建立新的产业并重新构想现有的产业。 它有助于提高生产力，增加就业机会，并促进美国经济发展。
But the purpose of this buildout extends far beyond the chips and systems being produced in the U.S. It’s to accelerate what those chips and systems make possible. AI can help scientists discover medicines, forecast weather, and solve problems once beyond reach.
但这次扩建的目的远远超出了美国生产的芯片和系统，而是加速这些芯片和系统的可能性。 人工智能可以帮助科学家发现药物，预测天气，并在无法实现时解决问题。
NVIDIA and our partners are investing in American manufacturing, supply chains, energy grids, and skilled workforces.
NVIDIA和我们的合作伙伴正在投资美国制造业、供应链、能源网和熟练劳动力。
America is a nation of builders. For 250 years, America has built railroads, power grids, factories, semiconductors, and the internet. Now, America is building again.
美国是一个建设者之国。 250年来，美国建造了铁路、电网、工厂、半导体和互联网。 现在，美国正在重新建设。
RT @NVIDIAAI: Most motion papers tailor one controller to one specific task. This year at SIGGRAPH, our research team asks: can motor contr…
RT @ NVIDIAAI ：大多数运动论文为特定任务量身定制一个控制器。在今年的SIGGRAPH大会上，我们的研究团队询问：运动控制…
RT @NVIDIAGTC: Get the best price for #NVIDIAGTC Berlin conference passes today: ✅ GTC alumni get the biggest savings ✅ Early bird pricing…
RT @ NVIDIAGTC ：立即获取# NVIDIAGTC柏林会议通行证的最优惠价格： ✅ GTC校友获得最大的节省 ✅ 早鸟定价……
NVIDIA inference software keeps driving down token costs, long after AI infrastructure is deployed. ⚡ In just one month on NVIDIA Blackwell, software optimizations improved DeepSeek V4 performance by up to 5×, reducing token costs to roughly one-fifth of previous levels. NVIDIA's integrated inference software stack compounds improvements across runtimes, kernels, networking, and hardware, delivering up to 20× higher throughput on the same GPU. Co-designed with NVIDIA GPUs, CPUs, networking, and systems, and powered by CUDA-native open source frameworks, NVIDIA's inference software stack ensures new model breakthroughs and optimizations run on NVIDIA from day zero, and keep improving throughput and lowering cost after deployment. See how @Baseten, @Cognition, @DeepInfra, @togethercompute, and @Cursor_ai are turning continuous software innovation into lower cost per token:
NVIDIA推理软件在人工智能基础设施部署后很长一段时间内不断降低代币成本。 ⚡ 在NVIDIA Blackwell的短短一个月内，软件优化将DeepSeek V4的性能提高了5倍，将代币成本降低到以前水平的约五分之一。NVIDIA的集成推理软件堆栈可跨越运行时、内核、网络和硬件进行改进，在同一GPU上提供高达20倍的吞吐量。 NVIDIA推理软件堆栈与NVIDIA GPU、CPU、网络和系统共同设计，并由CUDA原生开源框架提供支持，可确保从零开始在NVIDIA上运行新型号的突破和优化，并在部署后不断提高吞吐量并降低成本。 了解@ Baseten、@ Cognition、@ DeepInfra、@ togethercompute和@ Cursor_ai如何将持续的软件创新转化为更低的每个令牌成本：
@PalantirTech Learn more: nvda.ws/4vz3oV5
@ PalantirTech了解更多信息： nvda.ws/4vz3oV5
We're working with @PalantirTech to bring NVIDIA Nemotron open models into secure, air-gapped environments for U.S. government agencies and critical infrastructure operators. The new engine lets teams train on their own data, run models on their own infrastructure and retain
我们正在与@ PalantirTech合作，为美国政府机构和关键基础设施运营商将NVIDIA Nemotron开放型号引入安全的空隙环境中。 新引擎允许团队根据自己的数据进行培训，在自己的基础设施上运行模型并保留
Learn more: nvda.ws/3SDp4km
了解更多： nvda.ws/3SDp4km
The future of computer graphics is here, and it's built by AI. ✨ Don't miss the NVIDIA Research Keynote at SIGGRAPH 2026 for live demos and research examples showcasing breakthrough neural rendering, world models, and simulation methods across creative tools, industrial design, robotics, and autonomous systems.
计算机图形的未来就在这里，它是由人工智能构建的。 ✨ 千万不要错过SIGGRAPH 2026的NVIDIA研究主题演讲，通过现场演示和研究示例，展示跨越创意工具、工业设计、机器人和自主系统的突破性神经渲染、世界模型和仿真方法。
@AnthropicAI @Microsoft 🔗Learn more: nvda.ws/3RcYyhn
@ AnthropicAI @ Microsoft🔗了解详情： nvda.ws/3RcYyhn
📣 @AnthropicAI Claude models are now generally available in @Microsoft Foundry, running on the NVIDIA GB300 NVL72 platform on Azure with NVIDIA Quantum-X800 InfiniBand networking. For enterprises building the next generation of agentic AI, this means more powerful autonomous and domain-specific agents, backed by the inference performance and lowest cost per token.
📣 @ AnthropicAI Claude型号现已在@ Microsoft Foundry中正式提供，在Azure上的NVIDIA GB300 NVL72平台上运行，支持NVIDIA Quantum-X800 InfiniBand网络。 对于构建下一代代理AI的企业来说，这意味着更强大的自主和特定领域的代理，并以推理性能和每个令牌的最低成本为后盾。
@NPS_Monterey @NPSfoundation 📺 Watch now: nvda.ws/4xQoIqz 🔗 Learn more about the NPS and NVIDIA partnership at Converge @ NPS: nvda.ws/4xSCAk6
@ NPS_Monterey @ NPSfoundation立即📺观看： nvda.ws/4xQoIqz 🔗 如需了解有关NPS和NVIDIA合作伙伴关系的更多信息，请访问Converge @ NPS ： nvda.ws/4xSCAk6
📣 We are collaborating with the @NPS_Monterey to empower thousands of students to work and build applications with AI. Hear from Todd Lyons, EVP at the @npsfoundation, on how #NVIDIADGX and NVIDIA Omniverse are helping to create synthetic data, train tailored foundational models, and deploy solutions at scale for the public sector.
📣 我们正在与@ NPS_Monterey合作，使成千上万的学生能够使用人工智能工作和构建应用程序。 听听@ npsfoundation执行副总裁Todd Lyons讲述# NVIDIADGX和NVIDIA Omniverse如何帮助创建合成数据、培训量身定制的基础模型以及为公共部门大规模部署解决方案。
RT @NVIDIAAI: .@ArtificialAnlys just dropped a brand new leaderboard called AA-Briefcase for evaluating realistic tasks in complex projects…
RT @ NVIDIAAI ： @ ArtificialAnlys刚刚发布了一个名为AA-Briefcase的全新排行榜，用于评估复杂项目中的实际任务……
Explore the full story: nvda.ws/4uVbwxZ
探索完整故事： nvda.ws/4uVbwxZ
AI is most impactful when it's tailored to the way teams already work. Discover how Zaha Hadid Architects uses local compute, fine-tuned AI models, and NVIDIA technologies to build custom AI tools that accelerate design while keeping proprietary data secure.
当AI根据团队的工作方式量身定制时，它最具影响力。了解Zaha Hadid Architects如何使用本地计算、微调的人工智能模型和NVIDIA技术构建自定义人工智能工具，以加快设计速度，同时确保专有数据的安全。
Read the customer success story: nvda.ws/4gE0wBI
阅读客户成功案例： nvda.ws/4gE0wBI
Every day, millions of videos compete for advertising dollars. Ensuring brands appear alongside the right content requires AI that can understand context at scale. PYLER is helping advertisers improve brand safety and campaign performance with NVIDIA-accelerated AI that analyzes video content in near real time. 🎯 Driving smarter advertising with AI ⚡ Analyzes 2M videos daily for contextual understanding and brand-safe placements 🛡️ Reduced unsafe content exposure by 76.7% for major advertisers 💰 Cut operational costs by 10X while accelerating content validation from seconds to milliseconds Built on the NVIDIA AI platform, PYLER is helping brands and marketers scale trust, transparency, and performance across digital video advertising.
每天，数以百万计的视频都在争夺广告收入。确保品牌与合适的内容并存，需要能够大规模理解上下文的人工智能。 PYLER通过NVIDIA加速的人工智能近乎实时地分析视频内容，帮助广告商提高品牌安全性和活动效果。 利用人工智能🎯驱动更智能的广告 每天⚡ 分析200万个视频，以了解上下文和品牌安全展示位置 主要广告客户的不安全内容曝光率🛡️降低76.7% 💰 将运营成本降低10倍，同时将内容验证从几秒钟加速到几毫秒 PYLER以NVIDIA AI平台为基础，帮助品牌和营销人员提升数字视频广告的信任度、透明度和性能。
Learn how accelerated computing is redefining infrastructure efficiency in banking and payments: nvda.ws/4xO4yNU
了解加速计算如何重新定义银行和支付的基础设施效率： nvda.ws/4xO4yNU
Revolut built a transaction foundation model – accelerated by the NVIDIA full-stack platform on Nebius – to improve fraud detection, product recommendations, and other use cases in financial services. The results: 📈 2.3x better credit risk accuracy ⚡ Up to 5x higher training
Revolut建立了一个交易基础模型（由Nebius上的NVIDIA全栈平台加速） ，以改进金融服务中的欺诈检测、产品推荐和其他用例。 结果： 信用风险准确度提高📈2.3倍 ⚡ 高达5倍的高级培训
Read more about the announcement: nvda.ws/4f1J3BV
阅读更多有关公告的信息： nvda.ws/4f1J3BV
Walk the #BIO2026 show floor with Kimberly Powell, NVIDIA VP of Healthcare, as she shares what’s exciting about the latest BioNeMo toolkit announcement. BioNeMo is helping bring AI-driven biology and drug discovery closer to the next experiment, with tools for researchers and developers to build, customize and deploy AI applications across the life sciences ecosystem.
与NVIDIA医疗保健副总裁Kimberly Powell一起参加# BIO2026展会，分享最新BioNeMo工具包公告的精彩内容。 BioNeMo正在帮助人工智能驱动的生物学和药物发现更接近下一个实验，为研究人员和开发人员提供工具，在生命科学生态系统中构建、定制和部署人工智能应用程序。