AI agents spend most of their time waiting: for the model, for I/O, for a license. That makes them a scheduling problem, not a CPU problem. We show how Gridware Cluster Scheduler and Open Cluster Scheduler apply fair-share, quotas, and accounting to agents, with numbers from a real run of 410 sandboxed agents on one cluster.
9.1.7 is a patch release with an unusually wide reach. It ships the slurm-shim with the product, lets execution hosts register themselves, teaches Qontrol to snapshot and diff a cluster configuration, extends resource map requests, brings AMD Instinct GPUs to qgpu, and makes TLS available in Open Cluster Scheduler. Here is what matters. Run your…
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…
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…
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…
