Why We Love Gridware Cluster Scheduler—and Why It Loves Your Workload Too
9.1.6 is a small patch release, but it lands three things worth your attention. Pick the GPUs that belong together Resource maps (RSMAP) can now express relationships between the instances a job receives. With the new same= request syntax, a job can ask for all of its GPUs from the same NUMA node, the same…
We are pleased to announce the release of Open Cluster Scheduler 9.1.5 and Gridware Cluster Scheduler 9.1.5. As always, both are based on the same foundation: All key improvements and bug fixes in the scheduler for this version are incorporated into the open-source Open Cluster Scheduler, and the Gridware Cluster Scheduler builds upon this solid…
We’re happy to announce the release of both Open Cluster Scheduler 9.1.3 and Gridware Cluster Scheduler 9.1.3. As always, the two share the same foundation: all core scheduler improvements and fixes in this release land in the open-source Open Cluster Scheduler, and Gridware Cluster Scheduler builds on top of that solid base, adding enterprise capabilities…
ISC High Performance 2026 is here, and so are we. Find us at Booth K40 in Hamburg to talk about what’s next for the Gridware Cluster Scheduler. On the agenda: The future of HPC scheduling is interactive, intelligent, and quantum-ready. See it live at K40.
Data science teams love their own tools and they shouldn’t have to give them up to get access to real compute. That’s the idea behind a new integration we’ve built together with Posit: a Launcher plugin that lets Posit Workbench run both interactive data science sessions and batch jobs directly on clusters managed by Gridware…
Gridware Cluster Scheduler based on Open Cluster Scheduler 9.1.1 introduce a new SQL Integration for streaming reporting data into relational databases, and a built-in read-only MCP server in Qontrol for safe AI-assistant access to cluster state. Also new: multi-server FlexLM feature pooling in the License Manager, GPU device isolation with per-job accounting via qgpu, and an integrated share tree editor.
Smarter Binding, Stronger Security, and Full Cluster Visibility Managing HPC and AI workloads at scale means balancing performance, security, and operational simplicity — often across thousands of cores, multiple architectures, and diverse software stacks. With Gridware Cluster Scheduler 9.1.0, we’ve tackled all three. This release is the most feature-rich update we’ve shipped to date. It…
We're excited to announce that HPC Gridware will be attending SCA/HPCAsia 2026 in Osaka, Japan, from January 26-29, 2026! About the Conference The SupercomputingAsia (SCA) is a major annual international HPC event in Asia established in 2018. The conference is co-organized by HPC centers from Australia, Japan, Singapore, and Thailand, and has become a key…
The container landscape has evolved. Modern runtimes like Apptainer and enroot enable seamless container execution without specialized workload manager integration—no external daemons, no elevated privileges, full scheduler control. Discover how container workloads are first-class citizens in Gridware and Open Cluster Scheduler.
The NVIDIA DGX SPARK brings datacenter-class AI capabilities to the desktop. Built on the GB10 Grace Blackwell Superchip, it pairs a 20-core Arm CPU with Blackwell GPU architecture, connected via NVLink-C2C. With 128GB of unified memory and up to 1 petaflop of AI performance, researchers can run inference on 200 billion parameter models or fine-tune…
