Among Industry-first offerings include pay-as-you-use virtualized GPU Droplets and Kubernetes support

DigitalOcean Holdings, Inc. (NYSE:DOCN), the simplest scalable cloud, today 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.