Sherlock changelog

www.sherlock.stanford.edu

Introducing SH4_G8TF64.1, now with 8x H200 GPUs

by Kilian Cavalotti, Technical Lead & Architect, HPC

We are excited to announce the immediate availability of a powerful new node configuration to accelerate your GPU workloads on Sherlock: SH4_G8TF64.1. Featuring 8x NVIDIA H200 Tensor Core GPUs, this new configuration delivers cutting-edge

Introducing SH4_G8TF64.1, now with 8x H200 GPUs

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

An update about our plans to retire Sherlock 2.0

by Kilian Cavalotti, Technical Lead & Architect, HPC

We wanted to share an important update about the future of some of Sherlock’s oldest compute nodes, in light of some of the more recent and worsening political and economic conditions. As many of you know, we had planned to retire the

An update about our plans to retire Sherlock 2.0

Doubling the FLOPs, another milestone for Sherlock's performance

by Kilian Cavalotti, Technical Lead & Architect, HPC

We’re proud to announce that Sherlock has reached another significant performance milestone. Building on past successes, Sherlock continues to evolve and expand, integrating new technologies and enhancing its capabilities to meet the

Doubling the FLOPs, another milestone for Sherlock's performance

Sherlock 4.0: a new cluster generation

by Kilian Cavalotti, Technical Lead & Architect, HPC

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

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 4.0 is coming!

by Kilian Cavalotti, Technical Lead & Architect, HPC

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!

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

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