Hybrid File Storage for Research Computing
Innovate at the speed of life with Qumulo file storage.
Qumulo delivers a high performance cloud-native distributed file system that meets the performance and capacity demands of HPC environments, in the data center and in the cloud.
Performance to support HPC workloads with extreme low latency with all-NVMe nodes
Effortlessly manage mixed I/O performance for billions of small and large files
Scale across on-prem and the cloud - Burst compute, collaborate, archive
Real-time visibility across billions of files; eliminate data blindness
Improve efficiencies by unifying NAS, home directories, instruments, processing and AI/ML with a single namespace
Interface with existing applications easily, including NFS, SMB, FTP, HTTP and S3.
Qumulo meets the performance and capacity demands for research computing
Drive innovation. Accelerate research and outcomes with Qumulo.
Qumulo’s file system delivers extreme low latency, IOPS, and throughput performance for today’s HPC workloads. Supports mixed IO performance and handles billions of small files as efficiently as large ones.
Real-time visibility and control
Qumulo’s real-time analytics eliminates data blindness, providing instant visibility across billions of files. Organizations gain control with real-time information about the entire storage system to predict usage and capacity trends, and more proactively manage current and future requirements. System administrators can identify trends for chargebacks and apply quotas in real-time.
Scale across on-prem and the cloud
Qumulo’s cloud-native distributed file storage delivers fast, consistent access to data across the entire system. Scale-out architecture to expand performance and capacity across on-prem and cloud environments. Burst compute performance, collaborate, and archive.
Unify and consolidate
Qumulo’s single namespace consolidates legacy NAS and parallel system storage silos, and unifies workloads with a single SMB share or NFS mount for NAS, home directories, instruments, processing and AI/ML. Data is consolidated and collaboration is accelerated.