The following outlines the general (and high-level) IT resources provided by the FBRI. This text can be used in IRB responses and research documentation.
The FBRI has dedicated data centers in the primary Riverside 2 facility as well as the Biomedical Research Addition (BRA / Riverside 4) opened in 2020. Both are secured with dual-factor biometric access and provide redundant and backup power through enterprise-class uninterruptible power supplies (UPS) and facilities-based generators.
Off-site storage is housed in the Andrews Information Services Building (AISB) on main campus for real-time replication and protection of all research data.
[Updated 3.7.2022]
Research Technology and Computing Resources
- Dell / Intel HPC Cluster -SLURM (Dirac):
- 21 compute nodes, 960 cores, 3,840 GB RAM, 40Gb Interconnect
- Dell / Intel HPC Cluster - SLURM (Hawking):
- 4 compute nodes totaling 192 cores, 768 GB RAM, 40Gb Interconnect
- 2 single GPU nodes totaling 4 NVIDIA Tesla V100 16G Passive GPUs, 56 cores, 768 GB RAM, 40Gb Interconnect
- 3 dual GPU nodes with two NVIDA Ampere A30 GPUs each, 156 cores, 1,536 GB RAM,40Gb Interconnect
- 10+ dedicated Linux servers (48 core AMD Opteron-based, 192GB RAM) are available for image and data analysis
- Virtualized infrastructure using VMware vSphere with built-in redundancy between data centers serving Linux and Windows virtual machines available for general and scientific computing and image and data analysis
- 40 and 100Gbit/s storage connectivity for research data
- 10,40 and 100 Gbit/s Internal Local Area Network between file servers and cluster
- 10 Gbit/s Wide Area Network for access to Virginia Tech main campus / Internet
- 3.9 Petabytes of NAS centralized disk storage
- 1.9 Petabytes of off-site storage for disaster recovery
- 400 Terabytes of encrypted storage for scientific workloads
- 709 Terabytes of dedicated storage for microscopy
- Nightly backups, snapshots, and off-site data retention
- 2.4Ghz / 5Ghz secure wireless network
- 1 Gbit/s commodity Ethernet network
- Data Analysis Tools: MATLAB, SPM, AFNI, FSL, MRIcro, xjView, R, SAS, Graphpad Prism, SPSS
- Productivity Tools: Adobe Suite, Microsoft Office Suite, vi, vim, emacs, etc.
Jed Krisch
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