OpenHPC 4.2 was
released on 1 November 2026.
Among the new material in the install guide is an optional section that sets up
EESSI on the cluster being built: the CernVM-FS client
on the head node and in the compute image, the software.eessi.io repository,
and a module that makes the EESSI software stack available through the usual
module commands.
An interview on EESSI, as well as the impact of AI on the development and maintainers of open source software, has been published in the Discovered by Compute podcast.
This discussion was recorded at the ISC conference that took place in Hamburg in June 2026, see also our dedicated blog post on this event.
At the Supercomputing 2024 conference EESSI won an HPCWire Readers' Choice Award.
On 14 September 2026, EESSI got nominated again for the HPCWire Readers' Choice Award.
We have not been sitting still, EESSI has continued to evolve significantly since late 2024.
In this blog post we take a look at the progress that has been made, highlighting some of the recent developments, enhancements, and milestones.
Read on to see what has changed in EESSI since November 2024, and why we think that EESSI deserves your vote more than ever before... 
EESSI has been nominated (again) for the HPCwire Readers’ Choice Awards, in the "Best HPC Programming Tool or Technology" category.
You can help us win the award by joining the vote.
Almost 2 decades ago openMosix was the hottest open source Single System Image (SSI) cluster out there. OpenMosix could migrate long running processes across a cluster and thus effectively allowing HPC workloads to be spread across a cluster or migrated to a node with more resources, with no changes to the code. The project however never got a 2.6 kernel port and thus was EOL by early 2008.
Earlier this year Matt Rechenburg, one of the original openMosix community members released MattX, the Modern SSI Cluster , which brought back the openMosix vibes. MattX lacked a test suite and thus I had a suite build. Initially the Mattx Test suite just spun up a number of VM's and migrated basic processes around to validate the new releases. Working on that Test suite I wondered if it weren't a good idea to take let some real HPC workloads migrate around, and where better to find them than in the EESSI demo project.
A fresh-install, end-to-end walkthrough on an Orange Pi RV2: reproduce a silent NaN
failure in the stock EESSI HPL, trace it to one RISC-V vector kernel, and fix it —
correct results — with a single eb --from-pr.
During the week of 22-26 June 2026, EESSI was part of the official program of the ISC'26 conference in Hamburg (Germany) in various ways.
Next to the Introduction to EESSI half-day tutorial and a Birds-of-a-Feather (BoF) session we organized ourselves, EESSI was also featured prominently in two other BoF sessions, including the one on the EuroHPC Federation Platform.
In addition, we gave presentations in two workshops, witnessed how EESSI got mentioned by speakers in other sessions, and had lots of interesting discussions with members of the HPC community at the ISC exhibit or when bumping into people in the hallway track.
lfoss/2025b now available in the EESSI RISC-V stackThe EESSI RISC-V software stack available through the dev.eessi.io/riscv repository
now includes the lfoss/2025b toolchain.
This is an important milestone for the RISC-V enablement work in EESSI, since it brings a modern LLVM-based software toolchain to the growing collection of software available for RISC-V systems through EESSI.
Building on our initial HPE/Cray Slingshot‑11 results, we further refined MPI tuning and validated the setup using EESSI 2025.06.
The outcome is a significant performance improvement, bringing MPI support in EESSI much closer to vendor tuned Cray MPI environments.
MUSICA (Multi-Site Computer Austria) is the latest addition to Austria's national supercomputing infrastructure. The system's compute resources are distributed across three locations in Austria: Vienna, Innsbruck, and Linz. We describe the process that led to the adoption of EESSI as a base for the software stack on the MUSICA system at the Austrian Scientific Computing (ASC) research center.