Sherlock changelog

www.sherlock.stanford.edu

Free and private AI-assisted coding on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC

We're excited to announce a brand new section section in the Sherlock documentation, covering how to bring AI coding tools into your HPC workflows, for free, and without sending your code and data anywhere outside Stanford. Zed + Ollama:

Free and private AI-assisted coding on Sherlock

Back to job #1, thrice

by Kilian Cavalotti, Technical Lead & Architect, HPC

Not once, not twice, but three times! For the third time in Sherlock’s history, the Slurm job ID counter was reset over the weekend, and went from job #67,043,327 all the way back to job #1! JobIDRaw Partition

Introducing a new service partition on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC

We’re very pleased to introduce a new service partition on Sherlock, specially designed to run non-computational management and administrative tasks. Jobs like data transfer tasks, backups, CI/CD pipelines, workflow managers, or

Introducing a new service partition on Sherlock

Introducing Boltz-1 on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC

We're pleased to announce the availability of Boltz-1, a new open-source molecular interactions AI model recently released by MIT.

Introducing Boltz-1 on Sherlock

Storage quota units change: TB to TiB

by Kilian Cavalotti, Technical Lead & Architect, HPC

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 on

Sherlock goes full flash

by Stéphane Thiell & Kilian Cavalotti, Research Computing Team

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

Sherlock goes full flash

A brand new Sherlock OnDemand experience

by Kilian Cavalotti, Technical Lead & Architect, HPC

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.

A new tool to help optimize job resource requirements

by Kilian Cavalotti, Technical Lead & Architect, HPC

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 much

More free compute on Sherlock!

by Kilian Cavalotti, Technical Lead & Architect, HPC

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

More free compute on Sherlock!

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