FASTER (Fostering Accelerated Scientific Transformations, Education and Research) is funded by the NSF MRI program (Award #2019129) and provides a composable high-performance data-analysis and computing instrument. The FASTER system has 180 compute nodes with 2 Intel 32-core Ice Lake processors and 256 GB RAM, and includes 240 NVIDIA GPUs (40 A100 and 200 T4 GPUs). Using LIQID’s composable technology, all 180 compute nodes have access to the pool of available GPUs, dramatically improving workflow scalability. FASTER will have HDR InfiniBand interconnection and access/share a 5PB usable high-performance storage system running Lustre filesystem. Thirty percent of FASTER’s computing resources are allocated to researchers nationwide through ACCESS. Researchers must be based in the US and associated with a US academic research institution.
TAMU FASTER
Resource Type
Compute
Latest Status
production
Description
User Guide URL
Features
Is an ACCESS Allocated Production Compute resource
Unique, innovative or non-traditional compute resource
Resource is allocated by ACCESS
Composable hardware fabric
An intuitive, innovative, and interactive interface to remote computing resources
GPU use is the main purpose of this resource
General compute use
Specialized analysis nodes with large memory
NSF ACSS Category 2 Resources
Provides Globus data transfer and data sharing services for local storage
Organization Name
Texas A&M University
Global Resource ID
faster.tamu.access-ci.org