Penguin Solutions Releases ICE ClusterWare Management Software 13.0 for Optimizing AI Infrastructure
MWN-AI** Summary
Penguin Solutions, Inc., a prominent player in high-performance computing and AI infrastructure, has announced the release of ICE ClusterWare software 13.0, which aims to address critical challenges in AI and high-performance computing (HPC) environments. This new version enhances cluster management capabilities with a focus on two key areas: keeping clusters at peak performance and securely sharing resources among diverse user groups.
As AI applications expand from pilot projects to large-scale implementations, the demand on infrastructure intensifies. ICE ClusterWare 13.0 delivers built-in anomaly detection and auto-remediation features, which allow for continuous monitoring of cluster performance. These advancements enable the platform to automatically detect and isolate underperforming nodes, ensuring that workloads are consistently processed on high-performing hardware. This proactive capability minimizes downtime and significantly enhances the efficiency of model training, making workflows smoother and more reliable.
Another groundbreaking feature is the optional network-isolated multi-tenancy, which enables organizations to securely share GPU clusters among different departments or projects while maintaining resource isolation. This functionality supports the creation of dedicated subclusters, ensuring that users can operate their workloads with confidence that their data remains secure and separate from other tenants.
The updates are particularly valuable for cloud service providers, enterprises, and research institutions looking to optimize their AI computing resources while adhering to stringent security protocols. With general availability scheduled for December 2, 2025, ICE ClusterWare 13.0 positions Penguin Solutions at the forefront of supporting enterprises in navigating the complex landscape of AI deployment. For further details and insights, interested parties can register for an upcoming webinar on the transition from pilot to production environments scheduled for December 17, 2025.
MWN-AI** Analysis
Penguin Solutions' release of ICE ClusterWare Management Software 13.0 marks a significant advancement in managing AI and high-performance computing (HPC) environments. As more organizations shift from pilot projects to enterprise-scale deployments, the complexities of operational management intensify. The introduction of features such as built-in anomaly detection and auto-remediation offers a proactive approach to maintaining peak performance, minimizing downtime, and ultimately maximizing returns on infrastructure investments.
With the ability for secure provisioning and network-isolated multi-tenancy, ICE ClusterWare 13.0 sets itself apart by enabling safe resource sharing among diverse user groups. This capability can appeal strongly to organizations with varied departments or projects requiring high-performance GPU clusters, particularly in sectors such as life sciences and government agencies where security and performance are paramount. As AI becomes increasingly integrated into core business functions, firms leveraging these advanced solutions will likely experience enhanced operational efficiency, leading to improved outcomes and innovation velocity.
Investors should consider the strategic implications of this release. The broader market for AI and HPC solutions is anticipated to grow; therefore, Penguin Solutions is well-positioned to capitalize on this trend. The focus on security and resource optimization also aligns with heightened industry standards around data protection and operational excellence.
However, it is critical to monitor adoption and performance feedback to gauge how effectively this software supports the industry's evolving demands. Companies that adopt ICE ClusterWare 13.0 for their high-performance computing needs could serve as case studies for assessing its real-world effectiveness. With general availability slated for December 2025, potential investors should remain attuned to pre-release activities and customer engagements to better understand the market reception and the competitive landscape in which Penguin operates.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
New cluster management software capabilities deliver sustained peak performance and network-isolated resource segmentation for AI and HPC applications
Penguin Solutions, Inc . ("Penguin Solutions") (Nasdaq: PENG ), a leading provider of high-performance computing and AI infrastructure solutions, today announced the release of ICE ClusterWare ™ software 13.0 . This latest version introduces powerful new capabilities that solve two critical challenges in production-scale AI and HPC: sustaining peak cluster performance and secure provisioning of a single cluster to diverse user groups. These new features enable organizations to maximize return on their AI infrastructure investments by safely sharing resources across more users while ensuring consistent, reliable performance.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20251117135297/en/
Penguin Solutions releases ICE ClusterWare management software 13.0 with powerful new capabilities that solve two critical challenges in production-scale AI and HPC: sustaining peak cluster performance and secure provisioning of a single cluster to diverse user groups.
When an organization’s AI deployments progress from isolated pilot projects to enterprise-wide production environments, operational demands on infrastructure intensify immediately. Penguin’s ICE ClusterWare 13.0 addresses this with built-in anomaly detection and auto-remediation, along with network-isolated multi-tenancy—delivering the operational excellence required to support AI as a core business function.
“With the launch of our ICE ClusterWare software 13.0, we’re delivering pivotal advancements to help organizations manage the growing complexity of modern AI and HPC environments,” said Sharri Parsell, vice president software engineering for Penguin Solutions. “As AI continues to evolve from experimental pilots to enterprise-scale deployments, organizations need robust, intelligent infrastructure that drives operational excellence and enables AI success across the enterprise.”
The patent-pending anomaly detection and auto-remediation technology ensures peak cluster performance and resource availability, continuously monitoring for hidden performance degradation that traditional diagnostic tools miss. Upon detection, the system automatically isolates underperforming nodes and initiates remediation in real time, ensuring that workloads are scheduled on validated, high performing nodes. This proactive approach reduces administrative burdens, prevents unplanned downtime, and maximizes the cluster’s usable capacity. As a result, this new capability significantly shortens model training by reducing restarts and loss of work.
The new optional network-isolated multi-tenancy feature enables organizations to securely and efficiently share high-value GPU clusters, creating dedicated subclusters to support different departments, projects, or GPU-as-a-Service (GPUaaS) customers. This capability provides isolated environments, giving tenants the autonomy to select their own workload manager, govern users, and run workloads with confidence that data and operations remain segregated and secure.
"The pace and quality of biomedical research are directly tied to the technology that supports it," said Assistant Dean for Information Technology Shailesh Shenoy, Albert Einstein College of Medicine. "AI and HPC are crucial to providing the computational power that biometrics, life science, and medical research require, but we also had to ensure that it is optimized for our specific use cases. Having a trusted partner in Penguin Solutions has enabled us to not only build out this infrastructure, but also helped ensure we can manage and optimize it to keep it running smoothly and at capacity, freeing our faculty and student researchers to continue their groundbreaking work without interruption."
Reducing the security and resource utilization conflicts that previously forced organizations to build separate clusters drastically improves time to value. This capability is essential for cloud service providers and hyperscalers providing GPUaaS, enterprises and research institutes delivering AI computing to internal business groups, and federal or government agencies that require the highest level of security and resource isolation.
General availability for ICE ClusterWare software 13.0 is scheduled for December 2, 2025. To learn more about ICE ClusterWare 13.0, visit https://www.penguinsolutions.com/en-us/contact-us and register for our upcoming webinar: Navigating the AI Journey from Pilot to Production , on December 17, 2025 at 10:00 a.m. PST.
ICE ClusterWare is a trademark or registered trademark of Penguin Solutions, Inc. or its affiliates. All other trademarks are the property of their respective owners.
About Penguin Solutions
The most exciting technological advancements are also the most challenging for companies to adopt. At Penguin Solutions, we support our customers in achieving their ambitions across our computing, memory, and LED lines of business. With our expert skills, experience, and partnerships, we turn our customers’ most complex challenges into compelling opportunities.
For more information, visit https://www.penguinsolutions.com .
View source version on businesswire.com: https://www.businesswire.com/news/home/20251117135297/en/
Media Contact
Maureen O’Leary, Director Corporate Communications
Penguin Solutions
602-330-6846
[email protected]
FAQ**
How does the release of ICE ClusterWare 13.0 by Penguin Solutions Inc. (PENG) enhance the operational efficiency of AI and HPC environments compared to prior versions?
In what ways does the patent-pending anomaly detection feature in ICE ClusterWare 13.0 impact resource utilization for users of Penguin Solutions Inc. (PENG)?
Can you explain how the network-isolated multi-tenancy capability of ICE ClusterWare 13.0 supports diverse user groups effectively at Penguin Solutions Inc. (PENG)?
What feedback have early adopters provided regarding the performance improvements they experienced using ICE ClusterWare 13.0 from Penguin Solutions Inc. (PENG)?
**MWN-AI FAQ is based on asking OpenAI questions about SMART Global Holdings Inc. (NASDAQ: SGH).
NASDAQ: SGH
SGH Trading
-0.24% G/L:
$20.85 Last:
666,429 Volume:
$20.90 Open:
