Google Compute Engine

GCE for VMs

Google Compute Engine (GCE) is an Infrastructure as a Service (IaaS) offering that allows clients to create applications and run workloads on Google’s physical hardware. GCE provides a scalable number of virtual machines (VMs) to serve as large compute clusters on Google Cloud’s global infrastructure. It supports cloud storage, customized VMs, load balancing, and different instance options.

Benefits of Federator.ai employed for Optimization of Google Compute Engine

Managing a large VM deployment on GCE can be a challenging task. Performance and cost issues can arise due to misconfiguration, over-provisioning, and other factors. To address these challenges, Federator.ai provides an AI-powered solution for effectively adding application-aware optimization to GCE.

The Federator.ai/ Google Cloud operations suite integration workflow

Diagram: Federator.ai and Google Cloud’s operations suite work together to configuring new VM clusters

Visibility and Optimization of VM Resources

Visibility and Optimization of VM Resources

Leverage collected metadata and operational metrics to gain real-time visibility into VM resource usage with Federator.ai. Quickly identify opportunities for optimizing clusters and nodes, enabling accurate provisioning to ensure operational resilience.

Costs Improvement

Cost Improvement

Optimize infrastructure utilization with Federator.ai by providing accurate capacity projections and recommending optimal instance types and quantities. Assess the TCO of on-premises components, enabling executives to evaluate long-term costs and make cost-effective decisions.

Please select the software you would like a demo of:

Federator.ai GPU Booster ®

Maximizing GPU utilization for AI workloads and doubling your server’s training capacity

Federator.ai ®

Simplifying complexity and continuously optimizing cloud costs and performance