When Your Net-Zero Pledge Meets Your GPU Cluster
AI is driving emissions up and GPU utilization down. Learn why sustainability is an infrastructure problem and how OpenStack and Kubernetes solve it.
Experience the versatility of open source cloud infrastructure in Amsterdam. Start your free trial with $200 in credits.
Discover the flexibility of our open source cloud platform. Fill out the form to receive $200 in free credits.

We believe in the beauty of an open-source platform. After all, it helps you work without the burden of licensing fees or vendor lock-ins. Our fully open source stack features a vast ecosystem of software around it such as Ansible and Terraform integrations.
Our Amsterdam data center is packed with the latest technology and industry specifications:


In running Canada's biggest OpenStack public cloud and numerous enterprise private clouds around the world for the last ten years, we have a firm grasp on what market leaders need and what is required to leverage the platform's full potential. Get the true hands-on expertise you always desired

Our Amsterdam DC boasts a multi-tier security system, including a perimeter fence surveillance system, 24x7 on-site monitoring. This is also equipped with Conventional spot detection, VESDA like aspiration detection, High-pressure water-mist suppression mechanisms, Green energy efficiency standards and advanced global AMS-IX connectivity.

Need a multi-architectural ecosystem? Look no further. Get access to 64-bit Arm-based chips in addition to Intel x86 chips. Our GPU instances use enterprise-grade NVIDIA accelerators and deliver unparalleled speed by including PCI Express and NVMe SSD local storage
Insights, updates, and stories from our team
AI is driving emissions up and GPU utilization down. Learn why sustainability is an infrastructure problem and how OpenStack and Kubernetes solve it.
Training and inference have fundamentally different infrastructure needs. Learn what your Kubernetes platform must handle for GPU scheduling, storage, networking, and autoscaling across the full MLOps lifecycle.
Is your infrastructure ready for AI workloads? Evaluate compute, storage, networking, and orchestration layer by layer to find the gaps before they stall you.