Four Powerful, New Features to Help You Build and Deploy More Efficient Apps On DigitalOcean Kubernetes

Four Powerful, New Features to Help You Build and Deploy More Efficient Apps On DigitalOcean Kubernetes DigitalOcean Managed Kubernetes support for new GPU Droplets types Nodepool Scale-to-zero DigitalOcean Kubernetes now available in our new, AI-optimized Atlanta data center (ATL1) DigitalOcean Kubernetes Routing Agent now generally available (GA) Get started About the author Try DigitalOcean for free Related Articles Announcing OpenAI gpt-oss Models on the DigitalOcean Gradient™ AI Platform Build smarter AI agents: new tools now available for the DigitalOcean Gradient™ AI Platform Introducing GPU Droplets accelerated by NVIDIA HGX H200 By Nicole Ghalwash Published: July 22, 2025 4 min read We’re adding to March’s updates with even more Managed Kubernetes features that will help you get even more utility out of the product–including newly supported Droplet types, the ability to automatically scale nodes to zero when you’re not using them, and more. Let’s walk through these new features and how they can benefit both your Kubernetes environment and your business. TL;DR: We built some new features for Kubernetes platform. Get started with some quick-links below: –>Not a customer yet? Spin up a Kubernetes cluster in minutes. –>Already a customer? Explore the new features by logging into your DigitalOcean account. You can now deploy GPU-accelerated workloads on DigitalOcean Managed Kubernetes using our latest GPU Droplet types (both NVIDIA and AMD ). These new instance types are ideal for AI/ML training and inference, image and video processing, and other compute-intensive workloads. With native support for GPU nodes in your Kubernetes clusters, you get the flexibility of containers with the raw power of high-performance GPUs-fully integrated into the DOKS experience. Here are the new GPU Droplet types: This feature allows a node pool to automatically scale down to zero nodes when there are no active workloads that require those nodes. You can now enable the node pools within your Kubernetes environment to automatically scale down to zero when idle, stopping compute charges during those periods of inactivity. This feature is optimal for development or testing environments, applications with usage patterns tied to business hours that naturally yield idle periods, or workloads that use specialized node pools like GPU or CPU-Optimized for intermittent jobs. The main components of this feature include: 1.