Home > Storage > PowerFlex > White Papers > Google Cloud Anthos on Dell PowerFlex with AMD Compute Nodes > Executive summary
PowerFlex is a software-defined infrastructure designed to reduce the operational and infrastructure complexity, empowering organizations to move faster by delivering flexibility, elasticity, and simplicity with predictable performance and resiliency at scale. The PowerFlex family provides a foundation that combines compute and high-performance storage resources in a managed, unified fabric. PowerFlex comes in flexible deployment options—integrated rack, appliance, or custom nodes—that enables two-layer (compute and storage), single-layer (HCI), and/or storage-only architectures. PowerFlex is ideal for high-performance applications and databases, building an agile private cloud, or consolidating resources in heterogeneous environments.
Dell PowerFlex compute layer based on the AMD EPYC processors can satisfy most of the workload needs such as increasing the density and reducing the capital power, and cooling expenses. These nodes provide a balanced ecosystem that helps the customers to achieve:
Containers offer the following advantages:
PowerFlex offers Container Storage Interface (CSI) that allows you to provision storage for container-pods through a Kubernetes Persistent Volume Claim (PVC).
Google Cloud's Anthos is an integrated platform that lets you modernize how you develop, secure, and operate hybrid cloud and multicloud environments across the Google Cloud Platform (GCP) and on-premises infrastructure.
Together, Google Cloud, Dell, and AMD bring to the market, a PowerFlex system with AMD compute nodes that is optimized to power the full Anthos stack including Anthos clusters on-premises.
The solutions in this paper has been jointly validated by Google Cloud and Dell Technologies on the PowerFlex system with AMD compute nodes for bare metal deployments. Customers can purchase Anthos knowing that PowerFlex provides an operationally efficient, life cycle managed and scalable option for on-premises deployments.