Penguin Solutions Scyld ClusterWare Release Streamlines HPC And AI Cluster Deployment

Penguin Solutions released Scyld ClusterWare software v12.0, designed to streamline HPC and AI server provisioning to get HPC and AI server clusters up and running faster, securely, and at scale. Scyld ClusterWare software provides administrators with a complete, scalable, and flexible HPC and AI cluster management and monitoring environment.

Penguin Solutions released Scyld ClusterWare software v12.0, designed to streamline HPC and AI server provisioning to get HPC and AI server clusters up and running faster, securely, and at scale. Scyld ClusterWare software provides administrators with a complete, scalable, and flexible HPC and AI cluster management and monitoring environment.

Scyld ClusterWare v12 guides administrators through cluster management and expansion, enables greater scalability, boosts the performance of key providing steps, and is easier to use.

The ability to deploy HPC and AI clusters faster from bare-metal to a technical computing environment will accelerate innovation, enabling data scientists, researchers, and engineers to focus on their work more quickly. Providing a single pane of glass to manage and monitor large-scale clusters reduces administrative pain points to allow IT teams to direct their efforts on developing new workloads and capabilities.

The new Scyld ClusterWare software includes the following features:

• Web console with refreshed UI and expanded functionality to the existing management and monitoring tools available through the API and command line tools
• More performant node status subsystems that support larger compute node counts without sacrificing compute cycles
• Git Repos-as-a-Service enables increased automation making cluster customization, rebuild, and change management simpler
• Images-as-a-Service adds flexibility to provision bare-metal, VMs, diskless nodes, and other devices while assuring stability on known good states
• Config-less Slurm simplifies job scheduler setup and configuration
• Dynamic Attributes and Node Groups make managing nodes with varying hardware and software profiles more efficient, easier, and more intuitively

A minimal ClusterWare cluster consists of a head node and one or more compute nodes, all interconnected via a private cluster network.

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