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.
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…
