Our @StanfordCompute branch of robinhood-lustre-3.1.7 on Rocky Linux 9.3 with our own branch of Lustre 2.15.4 and MariaDB 10.11 can ingest more than 35K Lustre changelogs/sec. Those gauges seem appropriate for Pi Day, no?
https://t.co/DewirkKhml
https://t.co/PPHsPJPFam
We are hiring! Stanford Research Computing is recruiting a #GPU cluster sysadmin, for an incoming @nvidia#DGX SuperPOD.
If you're interested in operating large-scale GPU systems to support the amazing @Stanford research community, feel free to apply at
https://t.co/zR1KmJ5bjX
#Sherlock goes full flash!
The cluster scratch file system has been revamped to provide 10 PB of fast flash storage on #Lustre
https://t.co/oXVWoRsZRP
#HPC#Stanford
@XYHan_@s_thiell Dual-port NVMe drives are still quite rare, and chassis that support them even more so, while SAS provides reliable and proven dual-path redundancy which is essential for high-availability systems.
Filesystem upgrade complete! @StanfordCompute cares about HPC I/O! The Sherlock cluster has now ~10PB of full flash Lustre scratch storage at 400 GB/s, to support a wide range of research jobs on large datasets! Fully built in-house!
Final day of the annual HPC Leadership Institute. Group exercises led to fun results, including this gem (yes, there are lots of squirrels at Stanford; yes, it IS sunny). Led by @hpcnotes & @ItsHarveyTime
Microsoft + MITRE + @TACC + @hpcnotes + @StanfordCompute#HPC
Nearly at lunchtime on day 1 of the annual HPC Leadership Training Institute
https://t.co/FXIWYnzgRO
Brought to you by Microsoft + MITRE + @TACC + @StanfordRCC
Led by co-tutors @ItsHarveyTime & @hpcnotes#HPC
@s_thiell And hardware is not even the best part!
Thanks to the flexibility of #Lustre (and @sthiell's mad skillz😎), we've started replacing spinning disks with SAS SSDs... while the system is running! No downtime, no data to transfer, just a faster #HPC#filesystem for our users.
Today we reached a total of 4.9 PB of flash storage at 200 GB/s for @StanfordCompute’s Sherlock to support a wide range of research workloads. Lustre 2.15. #HPC#AI