Announcing GPU Droplets accelerated by NVIDIA HGX H100 in the EU

Announcing GPU Droplets accelerated by NVIDIA HGX H100 in the EU Accelerating training workloads with NVIDIA HGX H100s and DigitalOcean “We have two terabytes of RAM on each of the nodes, which we leverage to train larger models. DigitalOcean’s ability to provide us with all of the resources that we need, which we often can’t find in other places, has been really helpful. ” Simple, powerful GPU Droplets Get started today About the author Try DigitalOcean for free Related Articles Announcing cost-efficient storage with Network file storage, cold storage, and usage-based backups Announcing per-sec billing, new Droplet plans, BYOIP, and NAT gateway preview to reduce scaling costs Storage that thinks for itself: Introducing Storage autoscaling, the newest feature for Managed Databases By Waverly Swinton Published: October 7, 2025 2 min read Demand for high-performance computing resources, particularly for cutting-edge training and inference workloads, continues to grow exponentially. We know that developers and businesses across Europe need simple, localized access to powerful GPUs to keep their innovation pipelines moving fast. We’re excited to announce that NVIDIA HGX H100s as GPU Droplets—DigitalOcean’s on-demand, GPU-powered, virtual machines—are now available in our Amsterdam data center. By integrating NVIDIA HGX H100 GPUs into an EU-based data center, we’re making it simpler for developers and digital native enterprises to access cutting-edge performance with the simplicity and affordability you’ve come to expect from DigitalOcean. NVIDIA HGX H100 is a powerful GPU that is known for its training speed. It covers a range of use cases, including training LLMs, inference, and high-performance computing. Learn more about its full range of capabilities> DigitalOcean customers are putting NVIDIA HGX H100s to the test with complex use cases. WindBorne Systems, which operates the largest balloon constellation in the world while also developing state-of-the-art deep learning models for real-time forecasting, relies on NVIDIA HGX H100s on DigitalOcean for training. Combining NVIDIA’s state-of-technology with DigitalOcean’s resources, they found that DigitalOcean’s infrastructure allowed them to train models on H100s faster and more cost-effectively than other cloud options. Anuj Shetty, Machine Learning Engineer at WindBorne Systems Read the full story > Like all DigitalOcean products, GPU Droplets are designed for simplicity.