DigitalOcean announced general availability of easy-to-deploy advanced AI infrastructure, available in a pay-as-you-go model through the new DigitalOcean GPU Droplets. With the new GPU Droplets, AI developers can simply and quickly run AI experiments, train large language models, and scale AI projects - all without complex configurations or large capital investments.

With these latest offerings, DigitalOcean now offers a range of flexible, high-performance GPU solutions - including on-demand virtual GPUs, managed Kubernetes, and bare metal machines - that empower developers and growing businesses to accelerate AI/ML implementations.

Powered by the powerful NVIDIA H100 GPUs, purpose-built for next-gen AI applications, DigitalOcean GPU Droplets are available in cost-friendly single-node configurations as well as multi-node configurations. Unlike other cloud providers that require several steps and technical knowledge to configure security, storage, and network requirements, DigitalOcean GPU Droplets can be set up with a few clicks on a single page. DigitalOcean API users also will enjoy the benefits of the simple setup and management as GPU Droplets come fully integrated into the DigitalOcean API suite and can be spun up with a single API call.

The company is also expanding its managed Kubernetes service to support NVIDIA H100 GPUs, bringing the full power of H100-enabled worker nodes to Kubernetes containerized environments.

These advanced AI infrastructure offerings lower the barriers to AI development by providing fast, easy, and affordable access to high-performance GPUs without requiring upfront investments in costly hardware. The new building blocks, available immediately, are:

• DigitalOcean GPU Droplets: NVIDIA H100 GPU virtual servers, available in 1X and 8X configurations. While other cloud providers only offer the more expensive 8X configuration that includes a full rack of eight NVIDIA GPUs, DigitalOcean is offering Droplets with as little as one NVIDIA H100, providing fast-growing companies with exactly the computing power that they need, at a price that they can afford.
• DigitalOcean Kubernetes GPU Support: Managed Kubernetes service supports NVIDIA H100 GPUs, available in 1X and 8X configurations

Customers such as Story.com are already leveraging powerful H100 GPUs from DigitalOcean to train their models and scale their businesses.

"Story.com's GenAI workflow demands heavy computational power, and DigitalOcean's GPU nodes have been a game-changer for us," said Deep Mehta, CTO and Co-Founder of Story.com. "As a startup, we needed a reliable solution that could handle our intensive workloads, and DigitalOcean delivered with exceptional stability and performance. From seamless onboarding to rock-solid infrastructure, every part of the process has been smooth. The support team is incredibly responsive and quick to meet our requirements, making it an invaluable part of our growth."

"We're making it easier and more affordable than ever for developers, startups, and other innovators to build and deploy GenAI applications and move them into production," said Bratin Saha, Chief Product and Technology Officer at DigitalOcean. "To do that, they need access to advanced AI infrastructure without the added cost and complexity. Our GPUs as a service open this opportunity to a much broader user base."

Today's announcement is one of many steps that DigitalOcean is taking on its roadmap to offer AI platforms and applications. The company's forthcoming innovations include a brand new generative AI platform designed to make it easier for customers to configure and deploy the best AI solutions for their needs, including agents such as chatbots. With these innovations, DigitalOcean aims to democratize AI application development by simplifying the otherwise complex AI tech stack. It will provide pre-built components like hosted LLMs, offer easy to use data ingestion pipelines, and allow customers to leverage their knowledge bases, allowing them to easily create AI-powered applications.