AI compute is going to orbit. 🚀 @SpaceX’s Starmind AI1 satellite compute payload is powered by NVIDIA Vera Rubin NVL72, bringing AI factory compute closer to the stars. The next chapter of AI infrastructure boldly goes where no AI compute has gone before.

⚡See AI infrastructure in action at LEAP Riyadh. At DeepFest this year, Supermicro's Static Hardware Showcase puts AI Factory infrastructure in front of you — from @nvidia GB300 NVL72 training and inference systems to RTX PRO™ 6000 Blackwell Server Edition enterprise platforms, edge AI solutions, and AI-optimized storage See what's powering the next wave of AI deployment at DeepFest H5.B50 during LEAP Riyadh 2026. 📍Visit us at DeepFest, H5.B50 Join us: #Supermicro# #NVIDIA# #AI# #LEAP26# #LEAP5#

Agentic AI is here, and it’s redefining infrastructure. We’re expanding the Dell AI Factory with NVIDIA with PowerEdge servers featuring @NVIDIA Vera CPUs, built to scale AI agents from data to decision-making. Read the press release:

We built over 50 AI agents and tools for clients. Clients were happy and we were making money, but we shut it all down anyways. We stopped building individual systems. We started building AI Factories for each client. An AI Factory is the system that builds the systems. > The input is client AI use cases prioritized by impact > The output is custom agents and tools (I'm oversimplifying, but that's the gist of it) But now we can't scale any further unless we shut it all down again. We have to stop building AI Factories for each client. We need to build the AI Factory-Factory. Meta, I know, but here me out: The AI Factory-Factory builds a factory for each client. > The input is client problems, growth levers, and business goals > The output is a custom AI Factory that can handle every opportunity (I'm oversimplifying again, but you get it) Now we can deliver absurd value at unprecedented speed, even by AI-native standards. We're kinda disrupting ourselves though, so next we need to start pricing for outcomes because we've completely decoupled time and value.

NEW: NVIDIA EXPANDS AI INFRASTRUCTURE CAPACITY IN PARTNERSHIP WITH AUSTRALIA’S DATA CENTER ECOSYSTEM: $IREN partnering with NVIDIA to accelerate deployment of large-scale AI factories by combining NVIDIA’s DSX AI factory architecture with IREN’s expertise across power, land, data centers, GPU deployment and infrastructure operations. CEO Dan Roberts: “Combining IREN’s vertically integrated platform with the NVIDIA DSX AI factory reference architecture provides a repeatable blueprint to bring capacity online at scale. We are applying that blueprint across our development portfolio, bringing IREN’s proven international delivery and operating experience to our 800-megawatt Bundey campus in South Australia”

PHENOMENAL POSITION on AI Jensen Huang on @elonmusk: “Elon has a great advantage because, number one, his AI factory for his cars is fantastic, and he has a very large fleet of cars on the road. So I think he has just a phenomenal position, and he's been working on this for a long time, and so he's going to be in a great position to take advantage of it. I know Elon's attitude towards AI, and he's very optimistic about its future, and obviously he's working on some of the most important AI areas. xAI is working on foundation, cognitive intelligence AI. Tesla's working on autonomous vehicles, and Optimus is for humanoid robotics. These three areas of AI are the three most important areas.”

💡 One AI factory. 1,016 NVIDIA Blackwell Ultra GPUs. Over 9,000 petaFLOPs of AI performance. @EliLillyandCo and NVIDIA launch LillyPod, the world's first #NVIDIADGX# SuperPOD with DGX B300 systems to accelerate drug discovery, medical research, operational efficiency, and enhance industry collaboration. Together, by combining science, data, and compute power, we're breaking new ground for AI in life sciences. Learn how we're advancing the broader biotech ecosystem. ➡️