Bielefeld GPU Cluster

• total number of nodes: 28

• number of GPUs: 224

• number of CPUs: 56

• number of CPU cores: 560

• total amount of GPU-memory:  7.2 TB

• total amount of CPU-memory: 10.8 TB

• peak performance GPUs (single): 3.52 PFlops

• peak performance GPUs (double): 1.75 PFlops

• peak performance CPUs: 19.25 TFlops

• 14x19“ Racks incl. cold aisle containment

GPU Compute Nodes

8x NVIDIA Tesla V100 (32GB ECC)

7.8 TFlops Peak double precision

15.7 TFlops Peak single precision

Memory Bandwidth: 900 GB/s

NVLink Interconnect Bandwidth 300 GB/s

Dual 10-core Intel Xeon CPUs

384 GB Memory

5 Head Nodes:

• Dual 10-core Intel Xeon CPUs
• 384 GB Memory

Storage System:

• 4 Storage servers and 4 JBODs
• 2 PetaByte Parallel Filesystem
• BeeGFS distributed on 4 Servers
• Infiniband connection to Cluster-Nodes
• 4x 10 TB Metadata on SSD

Backup System:

• 1 backup server and 4 JBODs
• 2 PetaByte Filesystem

Network:

• High speed EDR Infiniband network
• Modular Gigabit administration network
• IPMI Remote-Management

Software:

• Operating system CentOS
• Batch Queueing System SLURM
• BeeGFS high-performance parallel file system
• NVIDIA CUDA parallel programming platform
• High Availability Cluster tools
• Performance and system Monitoring tools

Support:

For support and further information concerning access to the cluster and high performance computing in general write to gpucluster@physik.uni-bielefeld.de.

We are also part of the Competence Network HPC.NRW and can help you to gain excess to computing resources of TIER-2 and TIER-3 centers across the state of NRW.