DigitalOcean has unveiled its latest offering: easy-to-deploy GPU Droplets designed for AI developers, making advanced AI infrastructure more accessible and affordable. Powered by NVIDIA H100 GPUs, the new service allows startups and developers to run AI experiments, train models, and scale projects without hefty upfront investments.

Unlike competitors, DigitalOcean’s pay-as-you-go model offers single-node configurations alongside 8X options, breaking down barriers to AI by offering flexible, high-performance solutions.

With the integration of GPUs into DigitalOcean’s managed Kubernetes service, the company empowers businesses to accelerate AI/ML adoption seamlessly.

As DigitalOcean CTO Bratin Saha explained, “We’re making it easier and more affordable than ever for developers, startups, and other innovators to build and deploy GenAI applications.”

DigitalOcean’s focus on affordability and simplicity positions it as a game-changer for businesses like Story.com, which found DigitalOcean’s infrastructure invaluable for scaling its GenAI workflow.

By providing a flexible, easy-to-use platform for AI development, DigitalOcean aims to simplify AI adoption and allow more companies to harness the power of AI without the complexity.

With more innovations on the horizon, including a generative AI platform and pre-built components, DigitalOcean continues its mission to democratize AI development, making it accessible to a broader user base.