Sherlock changelog

Sherlock changelog

www.sherlock.stanford.edu

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: a new cluster generation

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 4.0 is coming!

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!
Instant lightweight GPU instances are now available

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
ClusterShell on Sherlock

Keep up to date with software updates

by Kilian Cavalotti, Technical Lead & Architect, HPC
To help users stay on top of software changes on Sherlock, we’ve recently introduced a new software updates RSS feed. It’s available from the Sherlock software list page, and you can directly add it to your RSS reader of choice. And if
Software
Update

New GPU options in the Sherlock catalog

by Kilian Cavalotti
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
Hardware

New Sherlock on-boarding sessions

by Kilian Cavalotti
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...
New
Training

Secure TensorBoard sessions with Sherlock OnDemand

by Kilian Cavalotti
Software
Improvement
If you're into machine learning (and who isn't these days?), you probably know all about TensorBoard already. If you don't, TensorBoard is TensorFlow's visualization toolkit. It provides the visualization and tooling needed for machine...
Secure TensorBoard sessions with Sherlock OnDemand

A newer, faster and better /scratch

by Kilian Cavalotti
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...
Data
Hardware
New