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[NVIDIA AI Infrastructure @NVIDIAAIInfra]

80% faster. Purpose-built for agents.

NVIDIA Vera isn’t a CPU upgrade. It’s a new category.
Our CEO Jensen Huang said it best: “We built Vera for agents to use.”

Learn more: https://t.co/0J4jFya0LP

[NVIDIA @nvidia]

Explore NVIDIA’s energy solutions: https://t.co/tBzFhFYgJM

[NVIDIA @nvidia]

⚡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.

[NVIDIA @nvidia]

@ArtificialAnlys Learn more: https://t.co/Tb22FyRhGQ

[NVIDIA @nvidia]

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.

[NVIDIA @nvidia]

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 ecosystem.

@Sequoia

[Konstantine Buhler @Konstantine]

Jensen Huang is a titan and a teacher. He recently sat down with me to explain his vision of the future of technology and humanity. He’s calm, clear, and very funny. We touched on many topics, ranging from the $20T or more AI economy in five layers to changes in labor for the AI age. Here are some of my main takeaways:

1) The world is moving from retrieval to generation
2) Generation offers intelligence customized to the individual
3) Nvidia is making the "generators" of intelligence
4) We've seen this kind of revolution at least three times before with energy (Generators), Telecommunications (vacuum tubes / transistors?), and now intelligence (GPUs)
5) There is a five-layer cake of participation in this many-many trillion dollar revolution: Energy, Chips, Infra, Models, and Applications.
6) There are many ways to participate in this revolution, and everyone has a role
7) We'll be pushed to dream up new problems to solve with this unprecedented intelligence
8) In this new future, it's not just having the answer, it's having the right questions
8) The right questions will drive us toward our individual and collective human purpose
9) We move from the carpenters to the architects

I believe this is the realistic future. Thanks to Jensen and the entire @nvidia team for the conversation and for letting us share!

00:00 Introduction
00:42 From Chatbots to Generative AI
03:35 Agentic AI That Does Work
05:26 Downstream Industry Impact
06:25 Computing Shifts From Retrieval to Generation
11:26 A Planet Cocooned by Intelligence
14:27 Inside the NVIDIA AI Factory
20:48 AI Five Layer Cake
21:58 Beyond Chatbots to Biology
23:54 Tokens and World Models
24:53 Trillions in Applications
27:13 Ditch the AI Doom
31:32 Jobs Tasks vs Purpose
38:40 Closing the Tech Divide

[NVIDIA GTC @NVIDIAGTC]

Wondering what Agentic AI means for developers?

In this GTC session, Bill Dally (Chief Scientist and SVP of Research, NVIDIA) and Jeff Dean (Chief Scientist, Google DeepMind and Google Research) discuss how agents can act like a senior mentor in your stack to rapidly deploy experiments and more.

Advancing to AI's Next Frontier – Bill Dally and Jeff Dean https://t.co/Cc4XiG9pxc

#NVIDIAGTC

[NVIDIA @nvidia]

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 Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.

[NVIDIA @nvidia]

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 little lobster claw keychains 🦞), Taipei truly outdid itself. Thank you to everyone who smiled for the cameras, chatted with our avatars, and brought the future of AI to life.

Until next time, Taipei! 🇹🇼💚

[NVIDIA AI @NVIDIAAI]

One open model. 350,000+ motion clips. 15,000 FPS.

MotionBricks from NVIDIA Research runs real-time character animation at scale, without hand-crafted transitions or fine-tuning. And yes, it works for robotics too.

#SIGGRAPH2026 paper, demos + code: https://t.co/DqZrHxEBH7

[NVIDIA @nvidia]

🔗 Learn more: https://t.co/GRdF5PRqlG

[NVIDIA @nvidia]

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.

[NVIDIA @nvidia]

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 iteration for architects and designers.

[NVIDIA RTX Spark @NVIDIARTXSpark]

Turn a multi-step process into a single workflow, powered by NVIDIA RTX Spark.

See how an agent like @NousResearch Hermes Agent helps transform a concept sketch into a photoreal render, connecting Rhino, @ComfyUI, and @Blender into one seamless workflow so designers can stay focused on their vision.

[NVIDIA @nvidia]

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

[NVIDIA @nvidia]

Curious what went down at GTC Taipei? ✈️✨

Follow along with Skye from NVIDIA’s digital marketing team as she takes you behind the scenes of the event. From Build-A-Claw and Startup Day to the launch of NVIDIA RTX Spark, get a glimpse into the innovation, excitement, and moments that made GTC Taipei unforgettable 💚

[Julia Turc @juliarturc]

Early on, @JonathanRoss321 foresaw the unprecedented demand for compute of the 2020s. After pioneering Google's TPUs, he founded Groq, a "Language" Processing Unit dedicated for inference. After joining NVIDIA, he is betting on the GPU+LPU combo to power the agentic chains of AI calling AI calling AI.

This interview is part of my larger series on dedicated AI chips, so drop any suggestions/questions below.

Thank you @nvidia for hosting us at your HQ!

00:00 Intro
01:00 The Google TPU & Groq origin story
02:41 How is Groq different from a GPU?
04:43 Static scheduling makes Groq faster
05:47 Does Groq work with Mixture-of-Experts?
09:27 Are LPUs limited to text models?
11:03 Diffusion models
13:41 NVIDIA Vera Rubin: the GPU+LPU combo
15:26 Will Groq still be sold as a standalone chip?
16:49 How does agentic AI impact inference economics?
19:21 Will AI replace CUDA kernel engineers?
21:08 Will AI democratize hardware design?
26:11 Jevon's paradox: An endless demand for compute
29:04 What should kids learn in the AI age?

[NVIDIA @nvidia]

Watch Jensen and @CondoleezzaRice on the first episode of @HooverInst’s Only in America: https://t.co/3l6Q14XGE8

[NVIDIA @nvidia]

Our CEO Jensen Huang on the opportunity ahead: use AI deeply, challenge the status quo, and stay focused on the human purpose behind the work.

Every job has tasks. People give those tasks purpose, and AI can help turn that purpose into greater impact.

[NVIDIA @nvidia]

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. 🌟

[NVIDIA @nvidia]

Watch the full keynote: https://t.co/q2G86Fnj1k

[NVIDIA @nvidia]

NVIDIA Vera CPUs are ready to transform every industry, including financial services.

In partnership with Redpanda and HPE, NYSE is scaling capacity while further optimizing latency to power a high-performance, resilient and AI-ready market infrastructure, accelerated by NVIDIA Vera CPUs.