Sherlock changelog

Tracking NFS problems down to the SFP level

by Kilian Cavalotti
Blog
Data
Hardware
When NFS problems turn out to be... not NFS problems at all.

Sherlock facts

by Kilian Cavalotti
Data
Improvement
Ever wondered how many compute nodes is Sherlock made of? Or how many users are using it? Or how many Infiniband cables link it all together? Well, wonder no more: head to the Sherlock facts page and see for yourself! > hint: there are...

Adventures in storage

by Kilian Cavalotti
_This is part of our blog series about behind-the-scenes things we do on a regular basis on Sherlock, to keep it up and running in the best possible conditions for our users. Now that Sherlock's old storage system has been retired, we...
Blog
Hardware
Data

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

More scratch space for everyone!

by Kilian Cavalotti
Announce
Data
Today, we're super excited to announce several major changes to the /scratch filesystem on Sherlock. What's /scratch already? /scratch is Sherlock's temporary, parallel and high-performance filesystem. It's available from all the...

Easier connection to Sherlock's DTNs

by Kilian Cavalotti
Improvement
Data
We know that easy access to data is essential, and that moving data around is a key part of every user's workflow on Sherlock. We also know that two-factor authentication (2FA) can sometimes get in the way, and hinder the ability to get...

You can now subscribe to Sherlock news and updates

by Kilian Cavalotti
You can now subscribe to Sherlock news and updates, and automatically receive an email notification when a new post is published here. To subscribe to Sherlock updates, follow the steps below: go to https://news.sherlock.stanford.edu...
Improvement
Update

Tensorflow 1.7.0 now available

by Sherlock Team
Tensorflow 1.7.0, which features TensorRT integration, is now available on Sherlock 2.0. You can load it on Sherlock with: $ ml py-tensorflow/1.7.0_py27 > NB: As with all the other Tensorflow modules on Sherlock, Tensorflow 1.7.0...
Software
Update

Sherlock 2.0 limits increased

by Sherlock Team
We started migrating compute nodes from Sherlock 1.0 to Sherlock 2.0, as part of the 2nd phase of the transition process described in the Sherlock 2.0 transition guide. That means that more nodes are now available on Sherlock 2.0, in...
Update