By Bratin Saha
At DigitalOcean, we’ve always focused on delivering simple, powerful infrastructure that helps digital native enterprises build and scale their applications. Over the past year, we’ve extended that commitment into the AI space by investing in compute, tooling, and workflows that make it easier to build with AI from the ground up.
We believe that to truly unlock the value of AI, developers need more than just infrastructure, they need an integrated experience that spans the full development lifecycle. That’s why we’re bringing together GPU infrastructure, intelligent agent development, and pre-built AI applications into one cohesive platform. Today, we’re taking the next step in that journey with the introduction of DigitalOcean GradientAI™, our unified AI cloud. It gives you everything you need to train, fine-tune, deploy, and scale AI workloads—not just as isolated components, but as a seamless, full-stack platform purpose-built for modern AI development.
As our AI portfolio has grown, we’ve recognized the need for a dedicated identity that reflects the scale and ambition of what we’re building. The name DigitalOcean GradientAI captures both the technical roots of machine learning and the philosophy behind our platform. In model training, gradients guide each step of learning—adjusting weights, reducing error, and moving toward better outcomes. In the same way, DigitalOcean GradientAI is designed to guide developers from idea to production, with the right tools, abstractions, and infrastructure at every stage.
Whether you’re experimenting with foundation models, building intelligent agents, or deploying production workloads at scale, DigitalOcean GradientAI is your end-to-end AI cloud.
With DigitalOcean GradientAI, we’re unifying our AI offerings under one umbrella to make them easier to discover, adopt, and scale:
If you’re already building with our AI tools, there’s nothing you need to change. All of your existing projects and APIs will continue to work as expected. What’s changing is how we bring it all together, with clearer organization, unified documentation, and a product experience that reflects the full potential of our AI platform.
In the weeks ahead, you’ll see the DigitalOcean GradientAI name reflected across our website, cloud console, and documentation.
Looking ahead, we’re continuing to invest across the full DigitalOcean GradientAI portfolio—Infrastructure, Platform, and Applications—to help you build smarter, scale faster, and deliver real value with AI.
GradientAI Infrastructure is expanding to support more advanced workloads and flexible deployment options. We’re adding next-generation GPU offerings to give you greater choice, performance, and affordability for both training and inference—starting this week with AMD Instinct™ MI325X and next month with NVIDIA H200s.
DigitalOcean GradientAI Platform is evolving into one of the most intuitive and powerful agent development environment available. With upcoming support for the Model Context Protocol (MCP), multi-modal capabilities, agent memory, insights, and deeper framework integrations, we’re making it easier than ever to move from prototype to production.
And with DigitalOcean GradientAI Applications, we’re growing our library of prebuilt agents to cover more real-world scenarios, from customer support to internal operations, so you can adopt AI faster without starting from scratch.
DigitalOcean GradientAI is built to meet you where you are and help you move fast, from prototype to production.
We’re excited about what’s ahead—and we can’t wait to see what you’ll build.