Sherlock changelog

Introducing Boltz-1 on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC
Software
We're pleased to announce the availability of Boltz-1, a new open-source molecular interactions AI model recently released by MIT.

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

Sherlock goes full flash

by Stéphane Thiell & Kilian Cavalotti, Research Computing Team
Data
Hardware
Improvement
What could be more frustrating than anxiously waiting for your computing job to finish? Slow I/O that makes it take even longer is certainly high on the list. But not anymore! Fir, Sherlock’s scratch file system, has just undergone a major

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

Job #1, again!

by Kilian Cavalotti, Technical Lead & Architect, HPC
This is not the first time, we’ve been through this already (not so long ago, actually) but today, the Slurm job id counter was reset and went from job #67043327 back to job #1.
Event
Scheduler