NVIDIA_X

NVIDIA_X14 hours ago

We’re honored that Glassdoor has named our founder and CEO, @JensenHuang , No. 1 on its 2026 Best CEOs list. 🎉

A very meaningful recognition, grounded in feedback from the people who make NVIDIA what it is.

Source: NVIDIA_X

NVIDIA_XAug 8 at 05:56 AM

Armenia and Kazakhstan with @FirebirdCloudAI are building the infrastructure to create intelligence at home, powered by the NVIDIA DSX platform.

📽️ Hear from @JensenHuang on this important milestone for the CIS region.

Source: NVIDIA_X

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NVIDIA_XAug 4 at 08:16 AM

Security is strongest when organizations collaborate openly and move quickly.

Now over 120 members strong, the Open Secure AI Alliance is sharing new open source security contributions, including new proposed SAFE guidelines, for turning confidential incident findings into stronger protection across the ecosystem.

Source: NVIDIA_X

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NVIDIA_XJul 31 at 03:36 PM

🎙️ @StudyFetch made its largest AI inference workload nearly 10x less expensive with NVIDIA Riva, Parakeet ASR and NVIDIA NIM microservices.

The gains support voice tutoring, real-time personalization and a new agentic learning platform.

Source: NVIDIA_X

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NVIDIA_XJul 27 at 08:27 AM

Korea’s AI moment came to San Francisco last week 🇰🇷

President Lee Jae Myung joined @JensenHuang and some of the biggest names in technology, industry and research to accelerate Korea’s full-stack AI ambitions.

Source: NVIDIA_X

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NVIDIA_XJul 27 at 04:04 AM

AI security advances when the industry builds in the open, together.

We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents.

By sharing models, tooling and research in the open, we can broaden the community of defenders.

Learn more about the founding members’ contributions:

Source: NVIDIA_X

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NVIDIA_XJul 25 at 06:27 PM

"When I left this morning, I was just Jensen. Next time I come back, call me K-Jensen.”

Korea isn't just an NVIDIA partner anymore. It's where the next wave of AI gets built and SNU is at the center of it.

Introducing the NVIDIA AI Technology Center at @SeoulNatlUni.

NVIDIA ❤️ SNU — let's build. 🇰🇷

Source: NVIDIA_X

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NVIDIA_XJul 25 at 06:56 AM

This is the Golden Age of Korea.

NVIDIA is proud to partner with leaders across government, industry, and global technology to advance the K-AI vision — across chips, frontier AI, physical AI and robotics, and AI factories.

Together, we’re building AI infrastructure for Korea and the world.

Source: NVIDIA_X

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NVIDIA_XJul 25 at 01:16 AM

SK Group and NVIDIA today announced a $500 billion-plus initiative spanning AI factories and next-generation memory.

➡️ @SKtelecom is building a 2-gigawatt NVIDIA Vera Rubin DSX AI Factory in Korea to serve global compute demand.

➡️ @SKhynix and NVIDIA will codevelop next-generation AI memory, including HBM.

Korea is ready to become a global AI powerhouse with world-class networks and data centers, leadership in chip technology and vast industrial scale.

Source: NVIDIA_X

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NVIDIA_XJul 25 at 12:26 AM

To compete in the intelligence era, nations need AI factory infrastructure.

Together, @official_naver, NVIDIA, and @Brookfield are expanding Korea’s national AI factory buildout to fuel Korea’s startups and industries at gigawatt-scale.

NAVER is deploying the NVIDIA DSX platform to deliver full-stack, lowest-cost AI factory infrastructure.

Source: NVIDIA_X

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NVIDIA_XJul 21 at 06:11 PM

The AI era runs on servers. More of those servers are built in Texas.

Today, NVIDIA CEO Jensen Huang joined Wistron Chairman Simon Lin in Fort Worth to open Wistron’s first U.S. facility, producing Grace Blackwell compute boards, with Vera Rubin next.

Source: NVIDIA_X

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NVIDIA_XJul 21 at 12:01 PM

🚀 The NVIDIA Vera Rubin platform is here, with 10x better performance per watt.

➡️ The NVIDIA ecosystem, including @CoreWeave, @GoogleCloud, @Micosoft, and @Oracle Cloud, are standing up NVIDIA Vera Rubin NVL72 to deliver the lowest token cost for the agentic era.

➡️ NVIDIA Vera Rubin NVL72 on CoreWeave demonstrates 10x more tokens per megawatt than Blackwell in their first measured performance.

➡️ Benchmark results from @DeepInfra show that the NVIDIA Vera CPU is more than 2x as fast and can support more concurrent AI agents compared with other CPUs.

🔗 Read more:

Source: NVIDIA_X

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NVIDIA_XJul 17 at 05:26 PM

Agents are becoming specialized, using reinforcement learning post-training to develop domain-specific skills 🛠️

Every post-training rollout is an inference call, so a lower cost per token flows straight into a higher Intelligence per Dollar on every run.

That is what the NVIDIA Vera Rubin platform is built for: extreme co-design that drives Cost per Token down and Intelligence per Dollar up, on every run of agentic post-training.

Source: NVIDIA_X

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NVIDIA_XJul 15 at 07:25 PM

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.

Source: NVIDIA_X

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NVIDIA_XJul 15 at 07:05 PM

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.

Source: NVIDIA_X

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NVIDIA_XJul 14 at 03:42 PM

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.

Source: NVIDIA_X

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NVIDIA_XJul 13 at 05:35 PM

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 🧵

Source: NVIDIA_X

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NVIDIA_XJul 7 at 01:25 PM

🌍 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.

Source: NVIDIA_X

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NVIDIA_XJul 6 at 01:25 PM

🌍 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.

Source: NVIDIA_X

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NVIDIA_XJul 6 at 11:05 AM

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.

Source: NVIDIA_X

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NVIDIA_XJul 1 at 07:05 PM

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.”

Source: NVIDIA_X

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NVIDIA_XJul 1 at 08:46 AM

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.

Source: NVIDIA_X

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NVIDIA_XJun 29 at 05:55 PM

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 full model ownership.

Source: NVIDIA_X

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NVIDIA_XJun 29 at 03:35 PM

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.

Source: NVIDIA_X

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