HPC clusters sized for the workload, not a catalog spec.
Revive Data designs and sources high performance compute clusters — balanced across compute, storage, and networking for the workload they'll actually run.
Architecture before hardware.
Cluster design starts with what the workload needs to do — not with whatever's easiest to source.
Cluster Sizing & Topology
We size clusters around throughput and workload shape, not a fixed template.
- Cluster architecture and sizing guidance
- Compute-to-storage ratio planning
- Topology suited to how nodes need to communicate
Vendor-Neutral Sourcing
Components sourced across OEM and channel relationships to fit budget and timeline.
- Access across multiple OEM and channel partners
- Straight guidance on what's worth it
- No pressure toward a specific product line
Power & Thermal Planning
Dense cluster racks change the power and cooling math — planned for upfront.
- Rack-level power and cooling assessment
- Coordination with facility and electrical teams
- Guidance suited to your specific site
Connected to What Comes Next
The team that designs your cluster also supports its refresh and recovery.
- One relationship across sourcing, deployment, and support
- A clear path when it's time to refresh or retire
- No hand-off between disconnected vendors
Clusters designed around the workload, not the invoice.
Advice before the sale
We tell you plainly what configuration actually fits — not what's easiest for us to source.
Balanced by design
Compute, storage, and networking sized together, not bolted on afterward.
Facility-ready before it ships
Power and thermal planning happens before hardware arrives.
One partner through the lifecycle
The same team supports refresh, decommissioning, and recovery down the line.
Positioning points above — confirm which reflect Revive Data's actual team, credentials, and process before publishing.
The rest of AI & HPC.
GPU & AI Compute
Accelerated compute sourced and configured for training or inference.
Explore AI & HPCNetworking & Interconnect
Low-latency fabric to keep clusters fed and synchronized.
Explore AI & HPCAI Data Center Deployment
End-to-end deployment from receiving dock to production-ready racks.
ExplorePlanning an HPC cluster?
Tell us about the workload and timeline — we'll help size it correctly.