Fusion Grid Sim 200
- Compute nodes
- 4
- Cores
- 256
- Accelerators
- 4 × 32GB
What is in it
- Login, head or controller node1x
- Fabric switch1xHDR 200Gb/s
- Accelerated compute nodes4x1 accelerator each
What arrives, across one cabinet, racked, cabled and burned in before it ships. The nearest single server we sell is the Fusion Rack Fury 200, shown in the photograph, with every part listed.
Why this cluster
The same OpenHPC stack, scheduler and way of working as the 300, on four nodes and an HDR network at two-to-one. The size where a department stops queueing for one workstation. It grows into the 300 by adding nodes, not by being replaced.
Made for your workflow
Your cluster, connected
Explore the hardware, shared capacity and connections that bring your cluster together.
- Compute nodes
- 4 nodes
- 1 cabinet · Engineering simulation
- Multiple machines share the workload across your team or applications.
- CPU cores
- 256 cores
- Across the specified nodes
- Processing capacity for parallel jobs, shared services and data workloads.
- Connecting the nodes
- HDR 200Gb/s
- Specified network fabric
- The interconnect moves data between nodes so the cluster can work together.
- Shared storage
- 150TB Lustre
- Specified filesystem capacity
- A shared home for the files, datasets and results your nodes need to access.
Hardware platform
How the cluster comes together
Network fabricHDR 200Gb/s · 1 switch
- Control & access1 login, head or controller node
- GPU compute4 accelerated compute nodes
Each square represents one node. Final capacity and cabinet layout are sized to your site.
What it is for
MPI jobs such as ANSYS Fluent and MATLAB split one problem across many machines, and every step waits for the slowest link between them. So the network decides how far a case scales, long before core count does. Memory speed is the second limit, because most scientific codes run out of memory bandwidth before they run out of cores. Built on OpenHPC and Slurm, with the network sized so that scaling is limited by the software, not the hardware.
Both sizes of engineering simulationSpecified
- Compute nodes
- 4
- Cores
- 256
- Accelerators
- 4 × 32GB
- Interconnect
- HDR 200Gb/s
- Filesystem
- 150TB Lustre
- Each node
- 2x AMD EPYC 9355, 384GB DDR5 ECC, 1x RTX 5000 Ada 32GB
- Cabinets
- 1
- Deployment
- Rack, in your own room or a colocation
These are the figures the design was specified and tested to, not figures computed from a parts list. A cluster is a network, a filesystem and a node count, and no single build expresses that. The final numbers come from sizing it to your room, your power and your work, and every node in it is measured the usual way.
