Parallel Works has unveiled an enhanced OpenStack integration through its ACTIVATE platform, aimed at improving enterprise cloud resource management. This new offering includes features such as advanced workload orchestration, dynamic cost control, and turnkey cluster provisioning, which are designed to optimize compute performance and reduce cloud costs.
As organizations seek to address rising public cloud expenses, many are reevaluating their cloud strategies by incorporating on-premises private clouds and Kubernetes clusters. Matthew Shaxted, founder and CEO of Parallel Works, noted the importance of OpenStack support in this strategy, enabling businesses to migrate virtualized workloads to on-premises systems while exploring full containerization with Kubernetes.
The renewed focus on open-source virtualization technology aligns with market dynamics favoring on-premises workload management in data centers. This trend is driven by evolving licensing models and the desire for alternatives to proprietary solutions. Organizations benefit from flexibility, scalability, and enhanced security as they develop tailored private clouds.
ACTIVATE provides capabilities that allow organizations to maximize existing infrastructure without significant operational overhauls. It enhances Artificial Intelligence (AI) and high-performance computing (HPC) utilization while minimizing administrative tasks and improving operational agility.
The key features of the new ACTIVATE OpenStack capabilities include:
- Advanced workload orchestration, offering custom workflows and dynamic GPU resource allocation.
- Dynamic cost control with near-real-time usage analytics for budget management.
- Turnkey cluster provisioning for quick deployment of high-performance workloads.
- An improved user experience through a unified access portal for launching various applications.
- Comprehensive storage management supports diverse storage types for optimal performance.
Designed specifically for AI and compute-intensive environments, ACTIVATE includes intuitive interfaces for managing HPC clusters efficiently. This solution accelerates resource provisioning for research and development activities.
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