NVIDIA

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 🧵

With software optimizations alone, NVIDIA has delivered 5x more tokens from the same GPUs and power envelope, and the pace is accelerating.

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.

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Register by July 15 to save up to 25%: nvda.ws/4eXR3UJ

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.

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📖 Read the success story here: nvda.ws/4voFTOl

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. ⬆️

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→ Watch the full interview: nvda.ws/4ybqvXq

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 knowledge at scale.

Learn more: nvda.ws/44mMOfd

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 team on the launch. 🎉

Every @NVIDIAGeForce generation has a story. Which graphics card and game started yours? Tell us below. 👇 #CollectRTX x.com/NVIDIAGeForce/…

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. x.com/SpaceXAI/statu…

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.

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@LangChain Learn more: nvda.ws/3RqdAQW

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: nvda.ws/4p6tDjg x.com/LangChain/stat…

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-…

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

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Learn more: nvda.ws/4yoIBFM

🌍 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.

📖 Read this inspiring success story on how AI is democratizing medical knowledge globally: nvda.ws/3RnB5dp

@Instacart Read the success story: nvda.ws/4xQkVtl

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 t.co/8w5PVPG0pt

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🌍 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.

Check out our sessions: nvda.ws/44KNNWA

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.

See what researchers are building: nvda.ws/44MhoyW

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.

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.

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Read more: nvda.ws/4amGJmA

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.

🔗 Read more: nvda.ws/4eV4Da2

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.”

Read more about Jaiveer and the Isaac ROS team’s work here: nvda.ws/3SDSqza

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.

NVIDIA and our partners are investing in American manufacturing, supply chains, energy grids, and skilled workforces.

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: t.co/jQquhFMR2m

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.

@PalantirTech Learn more: nvda.ws/4vz3oV5

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.

Learn more: nvda.ws/3SDp4km

📣 @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 @Microsoft 🔗Learn more: nvda.ws/3RcYyhn

📣 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.

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@NPS_Monterey @NPSfoundation 📺 Watch now: nvda.ws/4xQoIqz 🔗 Learn more about the NPS and NVIDIA partnership at Converge @ NPS: nvda.ws/4xSCAk6

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.

Explore the full story: nvda.ws/4uVbwxZ

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.

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Read the customer success story: nvda.ws/4gE0wBI

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 throughput

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Learn how accelerated computing is redefining infrastructure efficiency in banking and payments: nvda.ws/4xO4yNU

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.

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Read more about the announcement: nvda.ws/4f1J3BV

Science is getting an AI lab partner. 🧬 x.com/nvidianewsroom…

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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.

📖Read the full blog here: nvda.ws/3SCurAg

NVIDIA's full-stack AI is enabling autonomous operations for the world's leading brands and platforms. Key capabilities driving this shift: 📈 Causal marketing analytics at enterprise scale 🤖 Secure, trustworthy agentic workflows ⚡Real-time, hyper-efficient auction bidding 🎬 Frame-level contextual video intelligence

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Learn more: nvda.ws/3SnpxXT

Real grocery stores are hard on AI: changing shelves, spotty Wi-Fi and shoppers on the move. On the NVIDIA AI Podcast, @instacart 's David McIntosh shares how Caper Carts use NVIDIA Jetson and edge AI to recognize items in store.

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@Instacart 🎧 Listen now: nvda.ws/4fXZtwf

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.

Learn more: nvda.ws/4xDV1ch

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 Green500 The world’s AI infrastructure runs on NVIDIA. #ISC26 @Top500supercomp #Top500 #Green500

Read more: nvda.ws/4uUFQch

Specialized AI agents help enterprises turn AI into systems built for their own workflows. NVIDIA Agent Toolkit brings together open Nemotron models, tools, skills and secure runtime support to help teams build agents tuned for domain-specific work. Learn more: t.co/yjBwBpa9NE

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📣 NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations At #DTWIgnite, together with our partners, we are showcasing the data, models, simulation and secure runtime stack enabling telcos to build more secure agentic workflows across autonomous networks and operations. 📖 Read the blog: t.co/b6Wf0kVyQ0

Thank you to our partners: AdaptKey, @Amdocs, @NTTData, @ServiceNow, @TCS, Forsk, @viavisolutions, KDDI, @SoftBank, @Keysight, and @SamsungResearch

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️ t.co/7WanoPNKTR

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Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done.

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Watch the keynote: nvda.ws/3Sg6ley

At VivaTech, we're sharing how France is turning AI ambitions into production reality. AI factories are coming online, open models are advancing, and agents are being deployed across industries, including healthcare, telecommunications, manufacturing, energy, and retail. From infrastructure to applications, France is helping lay the foundations for Europe's AI future with NVIDIA technologies. Read the blog: t.co/q3w5Yh9GIn

Registration for #NVIDIAGTC Berlin is now open. ✨ October 20–22, join the global AI community for expert-led sessions, hands-on training, and insights on how AI is transforming every industry. Hear from NVIDIA CEO Jensen Huang, explore what's next across the AI stack, and connect with the developers, researchers, and leaders shaping what's next. Register now.

🔗 nvda.ws/4gpTK2g

Thanks @satyanadella 👏 Great work with @Azure on one of the largest MLPerf Training submission to-date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training target met in only 7.07 minutes. More to come! x.com/satyanadella/s…

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.

@CoherentCorp Read more on how Coherent’s Sherman expansion is helping build the American manufacturing base behind the AI era: nvda.ws/4fLn6Ij

👏 @IneffableLabs is building a superlearner that learns from experience, requiring enormous computational scale. They chose NVIDIA Vera Rubin NVL72, one of the largest clusters on @GoogleCloud, to power their mission to reach superintelligence. x.com/GoogleCloud_UK…

The NVIDIA Blackwell platform just swept MLPerf Training 6.0, delivering fastest performance and largest scale. Beyond the benchmarks, capabilities like the Reliability, Availability, and Serviceability Engine and NVIDIA Resiliency Extension deliver fewer interruptions and faster recovery to keep massive training jobs on track.

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Learn how the NVIDIA platform and ecosystem enable AI model builders to launch frontier models faster, minimize training costs, and start generating revenue early. 🔗 nvda.ws/3SIOU6q

⚡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.

Explore NVIDIA’s energy solutions: nvda.ws/3Q6TcUy

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

@ArtificialAnlys Learn more: nvda.ws/4fHQpvp

Computing is undergoing its biggest shift in 60 years. Our CEO Jensen Huang explains why the world is moving from retrieval to generation—expanding what humanity can build, discover, and solve. This shift represents a multi trillion dollar opportunity across the 5 layer AI cake x.com/Konstantine/st…

Huge congratulations to the @SpaceX team on a historic IPO debut. Fueling the next frontier of space and AI. 🌌 NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1 supercomputer in 2016 to the custom DGX Spark handoff at

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Looking back at these clips from GTC Taipei and reminiscing on what an incredible week it was. There’s nothing quite like the buzz of the tech community coming together in person. From the packed keynote hall and cutting-edge robotics to the fun local activations (and yes, those

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What if compliance wasn't the reason your AI initiative never made it past the pilot stage? 🔒 NVIDIA AI Enterprise's government-ready software gives teams around the world a secure, production-ready foundation — so they can focus on deploying AI, not managing vulnerabilities.

🔗 Learn more: nvda.ws/4uAfgop

EC workflows are increasingly defined by the connections between tools, not the tools themselves. Agentic AI has the potential to streamline everything from early design exploration to visualization by orchestrating work across applications, reducing friction and accelerating x.com/NVIDIARTXSpark…

NVIDIA ranks No. 1 as top adoption-friendly workplace in the U.S. by the @DTFA. We support employees in the different ways they choose to grow their families, though adoption, fertility, IVF, surrogacy, and more. #NVIDIALife