AWS re:Invent 2025 - Customer Keynote Vercel
By AWS Events
Summary
## Key takeaways - **Shift from Pages to Agents**: We're witnessing the shift from web pages to AI agents. This is perhaps the most important transformation we'll see in our careers as developers and technologists. [01:40], [01:53] - **Self-Driving Infrastructure**: We call this self-driving infrastructure. You write an app, you push your code, and automatically the best possible infrastructure is provisioned, orchestrated and optimized for you. [02:04], [02:24] - **Vercel Serves 1 Trillion Requests Monthly**: Vercel now empowers more than 11 million customers to build, scale and secure global web applications without managing infrastructure. With more than 1 trillion requests served every month. [01:15], [01:24] - **v0 Generates Apps from Speech**: V0 is the realization of that original dream. You speak your mind and in seconds you have a live working application. [03:19], [03:26] - **AI SDK: 5M Downloads Weekly**: AI SDK is downloaded about 5 million times per week, and with AI SDK, anyone can build with AI. [04:35], [04:47] - **3 Devs Built Tax Agent in 2 Months**: A team of just three developers built their tax advisory agent in just two months, and it's already in use by 1300 accounting firms. [05:09], [05:27]
Topics Covered
- From Web Pages to AI Agents
- V0 Generates Apps from Speech
- AI SDK Scales Agent Building
- AI Gateway as Token CDN
- Fluid Compute for Long AI Workloads
Full Transcript
>> Hi everyone! It's so great to be here with you all in The Cloud! When I was growing up in Argentina, I deconstruct sites
Cloud! When I was growing up in Argentina, I deconstruct sites on our family computer and bring my own ideas to life by typing a file to a server and sharing a link with my friends.
It was the best feeling I could just build and I never stopped building. I built with every tool and every framework, which
building. I built with every tool and every framework, which eventually led me to create my own framework as one does Next.js. With Next.js, we made building high quality
Next.js. With Next.js, we made building high quality applications accessible to anyone from the biggest enterprises on the planet to solo developers starting out with just an idea. The problem was that even with Next.js, I built an app in a couple hours and then spent weeks setting up
infrastructure to get it out into the world, and I didn't just want easy, I wanted peak performance at scale and I wanted it now. That idea led me to build Vercel. Ten years
later, Vercel now empowers more than 11 million customers to build, scale and secure global web applications without managing infrastructure. With more than 1 trillion requests
managing infrastructure. With more than 1 trillion requests served every month, now AI is changing. What and how we build interfaces are becoming conversations and workflows are becoming autonomous. We're witnessing the shift from web
becoming autonomous. We're witnessing the shift from web pages to AI agents. This is perhaps the most important transformation we'll see in our careers as developers and technologists. And this is how the Vercel AI Cloud was born to
technologists. And this is how the Vercel AI Cloud was born to redefine fully managed infrastructure for the AI era.
We call this self-driving infrastructure. You write an app, you push your code, and automatically the best possible infrastructure is provisioned, orchestrated and optimized for you. Vercel operates as an always on system that observes
you. Vercel operates as an always on system that observes every input from the code you write, the code you ship to the traffic your users generate, and turns that data into real time insights and optimizations. You get to focus on your
business, your products, your customers. And we know this works because we prove it at scale every day with our customers, but also because we build Vercel. Guess what? With
Vercel on Vercel and Vercel is powered by AWS, which means with just one git push, you reap the benefits of fully self-driving AWS infrastructure. So let's look at this in action
first v0. V0 is the realization of that original dream. The
first v0. V0 is the realization of that original dream. The
thing I wished existed when I was hacking together my websites. In Argentina. You speak your mind and in seconds
websites. In Argentina. You speak your mind and in seconds you have a live working application. Since its launch, v0 has been serving millions of requests per day. And that was possible because under the hood v0 runs on Vercel, which runs
on AWS with model inference provided by Amazon Bedrock.
When we were building v0, our engineers could just write code, deploy it over cell, and scale without configuring AWS primitives. And so this freed up the team's time, the v0
primitives. And so this freed up the team's time, the v0 team's time to focus on the novel AI challenges with new models and new ideas and new techniques coming up every week.
So to keep up and move at the speed of AI, we built the AI SDK. So think of it as Next.js with Next.js did for building
SDK. So think of it as Next.js with Next.js did for building pages. AI SDK does for building agents. So first, of course we
pages. AI SDK does for building agents. So first, of course we build it for ourselves, and then we made it available for everyone. It makes AI simple, model agnostic and scalable.
everyone. It makes AI simple, model agnostic and scalable.
Today, AI SDK is downloaded about 5 million times per week, and with AI SDK, anyone can build with AI. Whether it's
your first AI app or your at scale like Thomson Reuters, there are co-counsel AI assistant serves attorneys, accountants, audit teams. They used AI, SDK and Vercel, and a team of just three developers built their tax advisory agent
in just two months, and it's already in use by 1300 accounting firms. Now they're migrating their entire code base to AI SDK, deprecating thousands of lines of code across ten providers and consolidating everything into
one composable and scalable system. Three developers, two months, thousands of firms could be any of you. And so as we move from pages to agents and pixels to tokens, it's helpful to reuse lessons from the past. The web scaled thanks
to CDNs, which increased speed and reliability. And that's why we built the AI Gateway. Think of it as a CDN of tokens. It
routes inference automatically. It adds failover in critical controls. AI Gateway is built on the same global network that
controls. AI Gateway is built on the same global network that solves all of our customers across 20 regions, close to your users and your AWS data. This network runs on battle tested AWS infrastructure, Global Xcelerator shield, S3,
EC2, and more. But here's the next challenge AI is changing the profile of our workloads. While traditional apps need to load in milliseconds, agents can think over minutes or even hours and soon days. So serverless has been great for scaling on demand, right? So which we also need for agents.
But it hasn't been so great for what we call idle time. That's
what we built. Fluid Compute. It's compute optimized for AI powered by AWS fluid adapts to every workload, whether it's pages or agents. Your functions scale on demand, but crucially,
you pay only for what you actually use. Active CPU time.
This is fully self-driving compute infrastructure. Our AI
Cloud goes beyond Vercel's own services, providing seamless access to even more AWS solutions like AgentCore, Kiro, and RDS. How we build the web is changing. You'll be working
and RDS. How we build the web is changing. You'll be working with agents like v0 and Kiro. These agents will be writing code using frameworks like Next.js and AI SDK, and they'll deploy to self-driving infrastructure. This is the
future of the web, powered by Vercel backed by AWS. Thank you.
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