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You know, developer conferences are always about understanding tech shifts, understanding the new stack, but it's also about really coming to grips with the new opportunity, right, for us as developers, for the companies that we work at as well as the broader world. Uh so today we're going to unpack this. This conference is all about that. And if there's one key takeaway, it would be this. How do you all participate fully in this frontier intelligence ecosystem? If we can deliver unmetered intelligence to every desk and every home, right? It takes us all the way back to the very beginning. But that's what we said. Can we do that in this era of AI? for example, Adobe After Effects or Premier
are both using Windows ML um across uh NPUs and GPUs for local processing. And so today, one of the things that I'm really excited about in order to tap into all this compute power is to expand the scope of Windows ML and Windows AI, right? So you now have the full install base of GPUs uh that you can get to. So I'm really thrilled that every developer out there can count on building for local onboard AI uh and then have it run across all of uh the install base. We are also announcing two very cool new models uh that are all going to run on Windows uh in box. Uh the first is a new SLM. It's sort of a more efficient um uh model ion instruct um and it's a great uh reasoning model. And then we
have the planning model um ion plan which is a local agentic loop. I mean think about it right you now have a full local agentic loop. You can give it tools access um and build a fully onboard agent agentic applications uh without having to round trip to the cloud. That brings us uh to Nvidia uh and RTX Spark. Uh this is a next generation SOC for PCs. It brings together the CPU, the GPU as well as the AI capabilities into a single SOC and that's the exciting part and it includes unified memory uh architecture and also the integrated uh DRTM right so you now have all of the systems innovation and the SOC coming together. Um and we're really thrilled that one of the first devices that we built uh was the Surface
Ultra, right? It's uh it's a beautiful uh device and uh it really brings the power of Nvidia together with the design and the craftsmanship of Surface. It's 128 GB of uh unified memory. It's beautiful 2 uh,000nit display and it has um an all day battery life. Uh and so uh we're very excited to see this later this fall. We said, "Okay, this is fantastic. what can we do next? So, we said, let's try and push this uh and push the architecture to its limit for developers, right? What if we could just max the compute uh max the memory, build out that developer machine? That's the dream machine. U and that's what we're announcing today. Surface RTX Spark Devox is truly a dream machine. It's got
a one pedaflop of AI compute. Uh 20 CPU cores. Um all of those things have 128 uh gigabytes of unified memory access. Uh so super excited about this uh coming in the fall and you can join the wait list. I'm on the wait list as well. So uh we'll get there. Uh you know, so then we said why stop uh there? uh we said what if we did one more thing um and in fact I think Jensen did that already uh and he said Windows is coming uh to the DGX station. So a new I describe it as the desktop data center which you can have uh right there and running a one trillion parameter model locally. I mean just to sort of put it in perspective it's pretty close to what perhaps we had when we built GPD2503 right when was one of the first computer
supercomputers so it's pretty crazy to think that we've come this far where you can now have a data center on your desktop live from Taipei uh Jensen Wong CEO and founder of Nvidia well this all started about three years ago between a conversation between you and I and we were talking about how we could build a new class of PCs that's incredible for designers and creators and uh it would be incredible for artificial intelligence and it would be one of these systems that uh has the processing capability but also the software stack that's integrated into the world's design packages and creator packages and of course all the things that we're doing with AI. And here we are uh three years later. We built an incredible new chip and this system is supported by uh all of this
new software that you created for Windows and we now have the ability to have essentially an autonomous agent running on the PC. Now when you take a step back and you think about what does that mean for the 40 years that or some 30 years we've been working together uh we went from uh inventing DirectX together to uh creating uh now this uh incredible computer that has autonomous systems running the PC evolved from being an incredible tool to now being a tool that's used autonomously by an AI assistant. And so the idea that I could be traveling and I'm on the phone and I could text my PC and ask my PC to get some coding done or some idea that I have and it would fire up the tools on the PC and it would make the modifications or the changes or the
design that I was I told it to do and it would iterate with me while I'm away from the PC. My PC became an assistant while I'm sitting there. of course that this PC would be my great assistant as well. And so this idea that the PCB evolved from a personal computer to a personal AI is just really exciting. Today uh we're really thrilled uh to announce that Open Claw runs on Windows leveraging MXC. Yeah, we are very deeply engaged uh with the team to make open claw run super well on Windows. And so to let me hand it over to my colleagues uh Scott and Samantha to show you Open Claw on Windows.
Hey friends, you know, Open Claw came out in November of last year and it took the world by storm. And for the last several months, I've been using my Open Claw to stay on top of my health. My clock can help me manage my blood sugar and it gives me even proactive notifications via heartbeat. I've got mine triaging my personal email. It's doing my GitHub issues and tracking packages and it even buys me movie tickets. So Samantha, what are you using your claw for? That's cool, Scott. I turned my OpenClaw agent into my triathlon coach. I'm nowhere near ready for my race in September, but Coach Claw developed a workback plan for me and is using my Strava data to notify me on how I'm progressing and to keep me accountable
when I'm slacking. Now, we've both found our claws to be super useful and that's why we're working closely with OpenClaw to make them successful and even more successful on Windows. We've been collaborating in the open on GitHub to bring you all an OpenClaw Windows companion app. It's going to help you set up your own claws or connect to existing ones, whether they're hosted in Windows or in WSL. And the Windows Companion, we're going to sandbox the Open Claw tool calls to keep you and your system safe. Yeah, you'll see the OpenClaw Windows companion app running right now in the background. Go ahead and right click on it, Scott.
All right, that looks awesome. You'll notice immediately it looks like a native Windows app because it is. It's written in Win UI3. It's got all kinds of information about my gateway, other machines that are participating in my claw, my sessions, and my usage. I've also got quick access to things like chat, canvas, the main dashboard, and more. Let's jump into companion settings. Within the app, we've got full chat support with tool calling. And you'll notice down here in the corner, we've got lots of permissions options along with our sandbox configuration. I'm going to do something really scary and
ask Open Claw to delete all the files on your desktop. That's cool because I have a nice clean desktop. Um, I think you're keeping a secret. You hid all your icons from the audience while we were on stage. That is I think we need to show the audience who you really are. So disrespectful. I know where everything is. Just don't touch my stuff. I know where they are. You know, Sam, I need to make sure that you're clear that a messy desktop is an organized mind. I'm pretty sure that's the quote, right? So, what we've done is we've asked OpenClaw to delete those files from the Windows node. And the only thing that is going to keep from happening is MXC because we've turned off all of the many layers that OpenClaw
offers, but our it in this case Samantha has set it to read only. So, it's trying to go and delete all of those files. We can actually see the different attempts where it's going and deleting and then checking the directory and then deleting again because it's very persistent. It wants these files gone and I want them to stay. Oh, nope. The readonly sandbox is there. 94 JPEGs are still on the desktop. Absolutely. My desktop icons are safe from Samantha's reign of terror. Boiled again. Oh my goodness. I'm so excited to see Open Claw native on Windows. You know, watching a claw try to delete all your
desktop file and just fail made me really happy because 6 months ago that totally would have worked. You know, I built OpenClaw to have access to everything, my files, my machines, my chats, always on and fully open source. That's what makes it so powerful and that's what also makes companies a bit nervous. You know what I kept hearing was Peter I love my claw. Can I use this at work? And that's what we spent the last few months on with Microsoft, GitHub, OpenI, Nvidia, just to name a few. We added observability. We added auto mode for permissions. We changed how access works. It's not all or nothing anymore. You can pick which folder should be read only, which one should be writed or hidden. So here's
the news. You can totally run open claw inside your company now. And we even made the harness itself a plugin. You can bring your own copilot codeex whatever you already trust and your rules come right with it. And then you put open claw on top of it. You get persistent memory heartbeats and you get a claw right inside Slack or Teams. We're also continuing to make rapid progress on our long-term goal of building a scalable quantum computer. Uh we announced uh last year our first QPU. Uh we created a new state of matter uh that was only theorized 100 years ago. um and we proved it out that it exists. Our vision was to take a very radically different approach uh to addressing the fundamental barriers uh to building a
scalable quantum machine which is all about reliability uh speed as well as size. Uh since then we've continued to make progress across the full quantum stack uh with both our academic and industry partners. In fact, in Q North, we will have a quantum computer powered by atom computers, natural atom computers, uh with our stack in there. We're also working with algorithmic and Colombia and ETHZurich. Um and we ourselves in fact use this discovery um agentic loop to accelerate the work uh in quantum compressing years of research uh into this last year. And today I'm really thrilled to announce uh Myana 2. And so this is Myana 2. Um Myana 2 implements
the next generation material stack that we use discovery to discover and build and help fabricate. The resulting cubits are exceptionally reliable and capable of maintaining uh their state much longer. While other common approaches deliver a lifetime of just micros secondsonds or even milliseconds, Myana 2 provides cubit mean lifetime of 20 seconds or up to even a minute. Uh essentially a thousand times higher than what we were able to achieve with Myana 1. Um and the operations and this is so key operations in my 2 are one microscond enabling pretty complex comp you know quantum computation uh in that lifetime and all of this in the same cubit form factor of my 1 uh in one 100th of a
millimeter controlled all digitally which is again a super important aspect uh making it all possible to fit a million of these cubits in a chip smaller than a credit card. It's this combination of the reliability, the speed, the size that makes the topological approach so unique. Uh with my one, we had proven out the foundational physics and with my 2, now we begin the engineering scale. But ultimately, it is never about tech for tech's sake. It's about tackling those pressing challenges of people and planet. It is also the fundamental point of this conference. The question is not whether you can build the next great model, the next great platform or even this quantum machine. It's the question is how do we build this frontier ecosystem together?
Because there are really two stories people can tell about this moment. One is that technology concentrates power, reduces human agency and leaves the society to absorb the consequences. The other is that we use this next wave to unlock opportunity for developers, scientists, enterprises, and every community. And our job is to make the second story true. It's that's our northstar for the frontier ecosystem. Let's all go build together. Thank you all very much. Thank you.
