Sherlock changelog

Sherlock 4.0: a new cluster generation

by Kilian Cavalotti, Technical Lead & Architect, HPC
New
Announce
Hardware
We are thrilled to announce that Sherlock 4.0, the fourth generation of Stanford's High-Performance Computing cluster, is now live! This major upgrade represents a significant leap forward in our computing capabilities, offering researchers

Sherlock 4.0 is coming!

by Kilian Cavalotti, Technical Lead & Architect, HPC
New
Hardware
We are thrilled to announce that the next generation of Stanford's High-Performance Computing cluster is just around the corner. Mark your calendars for August 29, as we prepare to unveil Sherlock 4.0! Building on the success of previous

A brand new Sherlock OnDemand experience

by Kilian Cavalotti, Technical Lead & Architect, HPC
Stanford Research Computing is proud to unveil Sherlock OnDemand 3.0, a cutting-edge enhancement to its computing and data storage resources, revolutionizing user interaction and efficiency.
Announce
Improvement

Final hours announced for the June 2023 SRCF downtime

by Kilian Cavalotti, Technical Lead & Architect, HPC
Maintenance
Announce
As previously announced, the Stanford Research Computing Facility (SRCF), where Sherlock is hosted, will be powered off during the last week of June, in order to safely bring up power to the new SRCF2 datacenter. Sherlock will not be

Instant lightweight GPU instances are now available

by Kilian Cavalotti, Technical Lead & Architect, HPC
New
Hardware
We know that getting access to GPUs on Sherlock can be difficult and feel a little frustrating at times. Which is why we are excited to announce the immediate availability of our new instant lightweight GPU instances!

More free compute on Sherlock!

by Kilian Cavalotti, Technical Lead & Architect, HPC
Announce
Hardware
Improvement
We’re thrilled to announce that the free and generally available normal partition on Sherlock is getting an upgrade! With the addition of 24 brand new SH3_CBASE.1 compute nodes, each featuring one AMD EPYC 7543 Milan 32-core CPU and 256 GB

ClusterShell on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC
Software
New
Ever wondered how your jobs were doing while they were running? Keeping a eye on a log file is nice, but what if you could quickly gather process lists, usage metrics and other data points from all the nodes your multi-node jobs are running