text: Sherlock 4.0: a new cluster generation
  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 researchersStorage quota units change: TB to TiB
  Following in Oak footsteps, we’re excited to announce that Sherlock is adopting a new unit of measure for file system quotas.
  Starting today, we're transitioning from Terabytes (TB) to Tebibytes (TiB) for all storage allocations onSherlock 4.0 is coming!
  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 previousSherlock goes full flash
  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 majorA brand new Sherlock OnDemand experience
  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.Instant lightweight GPU instances are now available
  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!A new tool to help optimize job resource requirements
  It’s not always easy to determine the right amount of resources to request for a computing job. Making sure that the application will have enough resources to run properly, but avoiding over-requests that would make the jobs spend too muchMore free compute on Sherlock!
  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 GBJob #1, again!
  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.