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 researchersSherlock 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 previousInstant 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!ClusterShell on Sherlock
  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 runningNew GPU options in the Sherlock catalog
  Today, we're introducing the latest generation of GPU accelerators in the Sherlock catalog: the NVIDIA A100 Tensor Core GPU. Each A100 GPU features 9.7 TFlops of double-precision (FP64) performance, up to 312 TFlops for deep-learning...New Sherlock on-boarding sessions
  One of the most requested improvements around Sherlock services, that came out of our recent user survey, was for more documentation and more training. This is why, to help new users get familiar with Sherlock's computing environment...A newer, faster and better /scratch
  As we just announced, Sherlock now features a brand new storage system for /scratch. But what was the old system, what does the new one look like, and how did the move happen? Read on to find out! The old Since its early days, Sherlock...More (and easier!) GPU scheduling options
  GPU scheduling is now easier and more powerful on Sherlock, with the addition of new job submission options especially targeted at GPU workloads. The most visible change is that you can now use the --gpus option when submitting jobs...A better view at Sherlock's resources
  How many jobs are running? What partitions do I have access to? How many CPUs can I use? Where should I submit my jobs? Any of those sound familiar? We know it's not always easy to navigate the native scheduler tools, their syntax, and...