NVIDIA

📖 Read the success story here: 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.

→ Watch the full interview: 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. ⬆️

📣 An #NVIDIADGX GB300 system will become operational at @NPS_Monterey this month. To enrich AI skills for officers and students in the public sector, DGX GB300 will support the development of AI applications and address operational challenges in fields ranging from weather modeling, oceanic and operations research, to disaster resilience and response planning. 💡 Read more on how we’re training the next generation of AI leaders with NPS: nvda.ws/4wA5C6W 🔗 Learn more about the NPS and NVIDIA collaboration at Converge @ NPS: nvda.ws/3RsPPb1

@perplexity_ai 💚

The model has an advisor tool that natively escalates to a stronger model when needed. This model is hosted in the U.S. by Perplexity on Nvidia B200 GPUs. We will improve the model in research preview and publish full benchmarks in the coming weeks.

We're releasing a research preview of a new orchestrator model in Perplexity Computer. The model is an adapted version of GLM 5.2, post-trained for the Computer harness. It delivers near-frontier performance at 0.344x of the cost of Opus.

The DGX Spark is an incredible piece of hardware. Running it to almost full GPU and RAM utilization and it still doesn’t have any issues with the heat. Unified memory is the way to go for maximizing token value per watt.

Learn more: 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 knowledge at scale.

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

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.

@LangChain Learn more: 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.

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-…

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

Learn more: 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

📖 Read this inspiring success story on how AI is democratizing medical knowledge globally: 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.