NVIDIA_XThe 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
🚀 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
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
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
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
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
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
🌍 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
🌍 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
+1Open 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
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
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
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
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
📣 @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.Source: NVIDIA_X
The next era of AI will be defined by energy — how we scale it and where we get it from. Eco Wave Power, an NVIDIA Inception member, has found a solution in the sea 🌊.
Using NVIDIA Omniverse digital twins and accelerated computing, Eco Wave Power simulates wave conditions and structural behavior to reduce risk and accelerate deployment. AI is also helping them power data centers by managing compute task allocation based on predicted wave strength.Source: NVIDIA_X
For the past two years, an NVIDIA AI infrastructure contribution to the NAIRR pilot has helped power over 700 U.S. research projects. With DGX reference architecture providing dedicated resources, researchers have uncovered groundbreaking technologies that will reshape and advance industries such as healthcare, agriculture and energy.
Discover how Polymathic AI, University of Michigan, and Boston University are driving scientific breakthroughs with NAIRR and NVIDIA.Source: NVIDIA_X
The latest supercomputing rankings are in - NVIDIA is powering 81% of the TOP500 and 89% of all new systems, in addition to:
⚡2x the AI training throughput of all other platforms combined⚡3x the AI inference throughput⚡The top 8 most energy-efficient systems on the Green500The world’s AI infrastructure runs on NVIDIA. #ISC26 @Top500supercomp #Top500 #Green500Source: NVIDIA_X
AI infrastructure runs on more than compute. It runs on light.
Today in Sherman, Texas, Jensen Huang joined @CoherentCorp CEO Jim Anderson and local leaders to mark the expansion of U.S. manufacturing capacity for advanced photonics.The technology is behind the lasers and optical links that move data across modern AI systems, strengthening the American manufacturing base behind the AI era.Source: NVIDIA_X
⚡Energy is the foundation of the AI 5-Layer Cake.
As AI demand accelerates, energy is the key constraint on growth. From power and utilities to surface and subsurface operations — AI, digital twins, and intelligent agents are transforming how energy is produced and managed, unlocking capacity and improving efficiency at scale.Source: NVIDIA_X
The first agentic AI infrastructure benchmark is here.
An AI agent chains dozens to hundreds of AI model calls together, using tools, gathering context, and iterating until the task is done. Existing benchmarks weren't designed for that. AgentPerf from @ArtificialAnlys gives developers, enterprises and infrastructure providers a clear way to compare accelerated computing systems for agentic AI.First round of results highlight that NVIDIA Blackwell delivers 20x more agents per megawatt than NVIDIA Hopper.Source: NVIDIA_X
Honored. 🏆
NVIDIA has been recognized with the Industry AI Acceleration Award by @OpenAI, celebrating our work accelerating OpenAI adoption across industries.We're proud to partner with OpenAI in helping every industry unlock the full potential of AI. This recognition belongs to the teams, partners, and customers pushing the boundaries of what's possible together.Here's to building what's next. 🌟Source: NVIDIA_X
More than 500 researchers across all seven of @Stanford University’s schools now have access to a massive upgrade in computing power.
In partnership with NVIDIA and Mark III Systems, Stanford has deployed "Marlowe", a DGX SuperPOD equipped with 248 NVIDIA Hopper GPUs. The goal is simple: democratize large-scale research access.Marlowe is already powering cross-disciplinary breakthroughs, from materials science and neuroscience to medical imaging and AI.Source: NVIDIA_X
At #WWDC26, NVIDIA Confidential Computing on @GoogleCloud is enabling Apple to extend their groundbreaking Private Cloud Compute service to third-party data centers for the first time.
NVIDIA is collaborating with Apple and Google to power Apple Intelligence workloads built with Google Gemini on NVIDIA Blackwell GPUs.Source: NVIDIA_X
