Red Hat Releases Enterprise Virtualization 3.0 Private Beta

Red Hat has released the beta version of Red Hat Enterprise Virtualization 3.0, offering the ability to deploy the management server on Linux.

Red Hat Enterprise Virtualization, which supports both server and desktop virtualization, uses a kernel-based virtual machine (KVM) hypervisor for greater performance.

Key features new to this version of Red Hat Enterprise Virtualization 3.0 include:

  • Ability to run Enterprise Virtualization Manager as a Java application on JBoss Enterprise Application Platform on Red Hat Enteprise Linux;
  • Support for up to 128 logical CPUs and 2 TB of memory for hosts;
  • Support for up to 64 vCPUs and 2 TB of memory for guests;
  • Power user portal for end users to provision virtual machines, define templates, and administer environments;
  • RESTful API to manage and configure Red Hat Enterprise Virtualization programmatically;
  • Multi-level administrative capabilities;
  • Local storage capabilities;
  • Integrated and embedded reporting engine for analysis of historical trends and usage reports; and
  • SPICE WAN optimization and enhanced performance, including dynamic compression and automatic tuning of desktop effects and color depth, as well as enhanced support for Linux desktops.

Red Hat Enterprise Virtualization is currently in private beta. Further information about Enterprise Virtualization can be found at the company's site.

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • AI-inspired background pattern with geometric shapes and fine lines in muted blue and gray on a dark background

    IBM Releases Granite 3.0 Family of Advanced AI Models

    IBM has introduced its most advanced family of AI models to date, Granite 3.0, at its annual TechXchange event. The new models were developed to provide a combination of performance, flexibility, and autonomy that outperforms or matches similarly sized models from leading providers on a range of benchmarks.

  • abstract pattern with interconnected blue nodes and lines forming neural network shapes, overlaid with semi-transparent bars and circular data points

    Data, AI Lead Educause Top 10 List for 2025

    Educause recently released its annual Top 10 list of the most important technology issues facing colleges and universities in the coming year, with a familiar trio leading the bunch: data, analytics, and AI. But the report presents these critical technologies through a new lens: restoring trust in higher education.

  • illustrated university campus with modern buildings, glowing binary code streaming straight and dynamically from multiple directions, integrated into the architecture, surrounded by stylized trees, grass, and walkways

    3 Ways Institutions Can Become Data-Driven Organizations

    Faced with declining enrollments and changing demographics, colleges and universities must make use of data and analytics to better serve students.

  • blue and green lines intersecting and merging in an abstract pattern against a light gray background with a subtle grid design

    Data Integration Market: Cloud Giants Down, AI Up

    "By 2027, AI assistants and AI-enhanced workflows incorporated into data integration tools will reduce manual intervention by 60 percent and enable self-service data management," according to research firm Gartner.