Qumulo has extended its Cloud Native Qumulo (CNQ) unified data platform to Google Cloud, with availability now on the Google Cloud Marketplace. The platform is engineered to leverage Google Cloud's native compute, storage, and high-speed networking, providing scalable file and object storage for workloads ranging from massive archives to demanding AI and high-performance computing applications.
Qumulo's Cloud Native Qumulo (CNQ) platform is now available on Google Cloud Marketplace.
It provides a scalable, elastic file and object data service built on native Google Cloud infrastructure.
The platform supports exabyte-scale capacity in a single namespace and can scale performance independently.
It is designed for demanding workloads like AI/ML, HPC, media rendering, and long-term archives.
Key features include NeuralCache for I/O cost reduction and real-time analytics.
Deployment via Terraform can create a file data platform on Google Cloud in under 10 minutes.
CNQ on Google Cloud is not simply a lift-and-shift; it is explicitly built to leverage Google Cloud's underlying services. This includes integration with high-speed networking and powerful Z3 compute instances, enabling Qumulo to claim unprecedented performance levels—over 1.6 TBps of aggregate throughput and 20M IOPS to a single file system. The architecture allows performance and capacity to scale independently and on-demand, providing cost-effective elasticity.
The platform is designed to handle a wide range of unstructured data use cases without requiring application refactoring. This makes it a viable target for migrating legacy file-based applications out of on-premises infrastructure. Whether for general-purpose file sharing, high-throughput AI training data lakes, low-latency HPC simulations, or cost-effective archives, CNQ provides a single data platform with adjustable performance and capacity.
Beyond raw scalability, CNQ includes features optimized for cloud economics and operations. NeuralCache uses machine learning to optimize data placement, improving performance and reducing cloud I/O costs by up to 99%. Real-time analytics provide visibility into data usage and growth without resource-intensive indexing. The platform can be deployed into a customer's VPC via Terraform in minutes, and its underlying Cloud Data Fabric ensures data sovereignty and security across environments.
The availability of CNQ on Google Cloud represents a significant expansion of Qumulo's multi-cloud strategy, joining existing support for AWS and Azure. It provides Google Cloud customers with an enterprise-grade, high-performance file and object storage option that can simplify the migration and management of petabytes to exabytes of unstructured data. By offering a unified platform that bridges legacy file-based applications and modern cloud-native workloads, Qumulo enables organizations to accelerate their cloud journeys while maintaining operational simplicity.
About Qumulo
Qumulo is the only seven-time Leader in the Gartner Magic Quadrant for Distributed File and Object Storage and the leading provider of cloud data platforms. With exabytes under management and more than 1,000 production customers, Qumulo empowers organizations to manage, store, curate, and protect their data, unlocking new possibilities and driving innovation across diverse industries.
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