Cloud Native Qumulo Enables the Accelerated Computing Era and Normalizes the Economics From On-premises to Public Cloud for File and Object Storage
Qumulo, the leading provider of cloud data platforms, today announced that Cloud Native Qumulo on AWS achieved over 1TBps throughput and over one million IOPS using standard Network File System clients, combining blistering cloud performance with an economical approach to accelerated computing in the public cloud.
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“Organizations across multiple verticals are adopting Qumulo’s Cloud Data Platform to transform how data is accessed and managed to accelerate cancer research, efficient energy exploration, and digital special effects for modern storytelling.”
Cloud Native Qumulo (CNQ) is an enterprise-proven, multi-protocol data management solution supporting high-performance, high-density use cases. A fully cloud-native solution, CNQ disrupts the economics of cloud workflows, offering pricing up to 80% lower than legacy cloud-based file solutions and the flexibility to meet the performance and capacity needs of virtually any file-based application.
Available on both AWS and Azure, CNQ delivers seven unique factors that set it apart from other public cloud file solutions:
- Linear Performance Scaling: CNQ provides a seamless, reliable growth path that meets initial operational requirements and then easily scales to match the evolving needs of even the most demanding workloads.
- Flash-class performance: With an average cache hit ratio greater than 95%, CNQ minimizes data load times and GPU idle cycles, reducing costs while speeding up time to training, tuning, and/or inference. With proven performance of over a terabyte-per-second, CNQ can meet the most demanding requirements for GPUs, AI, and accelerated computing in the public cloud.
- True Elastic Scalability: CNQ easily adjusts with changing workload demands, delivering performance when needed and throttling back to save costs when demand is reduced. Unlike other cloud-based file systems, CNQ operates without pre-provisioned capacity or rigid volumes, and clients pay for only the capacity and performance they use.
- Standards-based: CNQ’s rich protocol stack provides industry-standard protocols that do not require custom or proprietary drivers, simplifying configuration, deployment, and troubleshooting, and delivering the level of throughput that accelerated computing demands within minutes.
- Simplicity: Organizations can deploy CNQ in minutes and scale performance and capacity in seconds, freeing users to focus on business concerns while gaining faster access to their data.
- Global Data Fabric: CNQ can leverage Qumulo’s Global Namespace (GNS) to enable seamless, low-latency access to data from any other location without complex replication or pre-staging operations. This allows organizations to connect on-premises data to cloud-based AI and high-performance computing services.
- Compelling Cost Savings: CNQ performance and capacity elastically deliver economics that significantly reduce costs. Pricing is based on actual storage usage and performance delivered without requiring static pre-provisioned capacity.
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Revolutionizing Data Management Across Industries
CNQ is designed to serve diverse industries, including healthcare and life sciences, media and entertainment, higher education, financial services, autonomous driving modeling, and energy. Each relies on AI and high-performance computing to maintain a competitive edge. For customers in regulated sectors and federal agencies, CNQ is also available on AWS GovCloud, providing a secure, compliant option that meets strict government and regulatory standards.
“For the first time, customers can use CNQ on AWS or Azure to dynamically scale performance or capacity, tailoring storage to meet changing workload demands from several gigabytes per second to now over a terabyte per second,” said Steve Phillips, head of product marketing and product management at Qumulo. “Organizations across multiple verticals are adopting Qumulo’s Cloud Data Platform to transform how data is accessed and managed to accelerate cancer research, efficient energy exploration, and digital special effects for modern storytelling.”
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