High Performance Computing
SteelDome High Performance Computing solutions deliver scalable compute, high-throughput storage, and low-latency infrastructure designed to support simulation, modeling, scientific workloads, and parallel processing at scale.
Optimized for Parallel Processing
Run distributed workloads with predictable performance across multi-node environments.
High-Throughput Storage
Eliminate I/O bottlenecks with scalable storage built for data-intensive workloads.
Low-Latency Cluster Architecture
Support tightly coupled workloads requiring fast inter-node communication and synchronization.
Benefits You Get
SteelDome provides HPC-ready infrastructure that integrates compute, storage, and virtualization to support sustained performance under extreme workload demands.
Virtualized Compute for Workloads
Virtualized Compute for Workloads
STRATISERV enables controlled virtualization for compute-intensive workloads, balancing performance, workload isolation, and resource scheduling.
High-throughput Storage
High-throughput Storage
STRATISTOR delivers scalable storage optimized for large datasets, checkpointing, simulation output, and research data pipelines.
Hyperconverged For HPC Clusters
Hyperconverged For HPC Clusters
HYPERSERV unifies compute, storage, and virtualization to simplify HPC cluster deployment while maintaining balanced performance.
Virtualized Compute for Workloads
Compute Orchestrated
STRATISERV enables controlled virtualization for compute-intensive workloads, balancing performance, workload isolation, and resource scheduling.
High-throughput Storage
Engineered for Data-Intensive Compute
STRATISTOR delivers scalable storage optimized for large datasets, checkpointing, simulation output, and research data pipelines.
Hyperconverged For HPC Clusters
Managed as One System
HYPERSERV unifies compute, storage, and virtualization to simplify HPC cluster deployment while maintaining balanced performance.
PROBLEMS WE SOLVE
BY HPC
Compute Resource Saturation
Eliminate performance degradation caused by overcommitted compute nodes and inefficient scheduling.
Storage Limitations
Overcome I/O constraints that slow simulations, checkpointing, and dataset processing.
Scalability Barriers
Expand cluster capacity without architectural redesign or disruptive migrations.
Operational Complexity
Reduce overhead from fragmented HPC tooling, schedulers, and management platforms.
Performance Variability
Maintain consistent workload execution across multi-node compute environments.
Compute Resource Saturation
Eliminate performance degradation caused by overcommitted compute nodes and inefficient scheduling.
Storage Limitations
Overcome I/O constraints that slow simulations, checkpointing, and dataset processing.
Scalability Barriers
Expand cluster capacity without architectural redesign or disruptive migrations.
Operational Complexity
Reduce overhead from fragmented HPC tooling, schedulers, and management platforms.
Performance Variability
Maintain consistent workload execution across multi-node compute environments.
Compute Resource Saturation
Eliminate performance degradation caused by overcommitted compute nodes and inefficient scheduling.
Storage Limitations
Overcome I/O constraints that slow simulations, checkpointing, and dataset processing.
Scalability Barriers
Expand cluster capacity without architectural redesign or disruptive migrations.
Operational Complexity
Reduce overhead from fragmented HPC tooling, schedulers, and management platforms.
Performance Variability
Maintain consistent workload execution across multi-node compute environments.
Supporting Compute-Intensive
Operations
Managing HPC workloads across clusters with predictable CPU allocation.
Performance Determinism
Workloads execute with predictable timing and throughput.
Low-Latency Design
Inter-node communication remains fast and consistent.
Scalable Architecture
Infrastructure grows alongside compute demand.
Operational Simplicity
HPC environments remain manageable as they scale.