BeeGFS Parallel File System
BeeGFS high-performance parallel file system installation and management. Scalable storage for HPC, AI/ML and big data workloads.
BeeGFS is the industry-standard parallel file system that enables hundreds of compute cores to read and write data simultaneously at high speed. It eliminates storage bottlenecks across a wide range from HPC clusters to AI/ML training platforms. Mevasis, with its ThinkParQ-certified engineers, manages the entire BeeGFS lifecycle end-to-end — from planning and installation to integration and monitoring.
Because BeeGFS separates metadata from data servers, performance stays predictable as the cluster grows, and one system can serve HPC simulation and AI training simultaneously. Mevasis engineers then tailor striping and block sizes to each application's access pattern.
Key Features
Linear Scalability
As new storage servers are added, total bandwidth and capacity scale linearly without disrupting existing clients. You simply add servers as your HPC or AI/ML workloads grow, knowing performance scales in proportion. There is no rebalancing downtime or manual tuning when extending the cluster.
InfiniBand and RDMA Support
When combined with HDR/NDR InfiniBand, individual storage servers deliver more than 20 GB/s of bandwidth. RDMA enables direct data transfer to compute node memory, bypassing the CPU and keeping latency low. This is essential for MPI applications and large-scale AI training.
POSIX Compliance
Existing HPC and AI/ML applications run on BeeGFS without any code changes. Because BeeGFS exposes a fully POSIX-compliant interface, you can mount it and immediately reuse your current MPI, deep learning and simulation software stacks. This removes the cost and risk of rewriting applications.
Integrated Monitoring
Capacity, bandwidth and IOPS metrics are tracked in real time via a Grafana and Prometheus monitoring dashboard. Alerts can be configured for threshold violations so storage problems are caught before they impact running jobs. Historical data also supports capacity planning and trend analysis.
Frequently Asked Questions
BeeGFS should be chosen when hundreds of processors must access large data sets simultaneously. Workloads such as molecular dynamics simulations, deep learning training jobs, computational fluid dynamics (CFD) and genomic analysis demand far more bandwidth and IOPS than a single storage server can provide. If your current NFS or local-disk solution has become a storage bottleneck — processor utilization is low but jobs are progressing slowly — BeeGFS is the right choice.
Mevasis manages BeeGFS deployments end-to-end: from capacity and network topology planning through hardware selection, installation and configuration, integration with SLURM or Kubernetes, and the setup of an operational monitoring stack. Our team consists of ThinkParQ-certified engineers who have successfully deployed multiple production BeeGFS systems. Post-deployment maintenance and performance optimization services are also within our scope.
BeeGFS deployment cost varies by storage capacity, number of servers, network infrastructure and service scope. Because every project is different, a fixed list price is not practical. Simply fill in a request form describing your infrastructure requirements; our technical team will respond within two business days with a preliminary assessment and a price range.
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