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Univa Releases HPC User Survey Results

HPC Growing; 70% expect increased use

Markham, ON, March 15, 2012 — Univa, the data center automation company, today released the results of its Technical Computing User Survey, taken between October and December, 2011.

The survey shows the continuing dependence on High Performance Computing across all industries with 7 out of 10 respondents indicating an expected increase in use in the coming year, and 7.5 out of 10 respondents indicating an increase in use in the following year. Not a single respondent indicated a decline in use.

The survey also looked at planned use of HPC Cloud and the

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Technical Computing User Survey
Survey
HPC Survey
Results

Univa Customer Growth Accelerates By 600%

Record Sales Powers Company into 2012

Markham, ON, February 21, 2012 — Univa, the data center automation company, today announced it set sales records in 2011 on the heels of accelerating customer acquisition.

"In 2011 Univa got down to the hard work of delivering against the future path Grid Engine users need,” said Gary Tyreman, President and CEO of Univa. “We created the future for Grid Engine through substantial investment in people and infrastructure to enable users to have a place to go for features, expertise and support.”

Customer Acquisition

In January, 2011, Univa announced it had

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600%
dale quayle

Univa Appoints Veteran Head of Sales

Positions for Strong Growth on Heels of Customer Acceptance of Univa Grid Engine 

Austin, TX, October 26, 2011 — Univa, the Data Center Automation Company, announced today the appointment of Rob Secontine to vice president Sales and Marketing.

Mr. Secontine brings over 25 years of executive sales management experience to his new position with Univa. Mr. Secontine will lead Univa’s accelerating growth and develop the company’s global sales and marketing strategies. Mr.

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rob secontine
vp sales

Univa Grid Engine Momentum Accelerates; Customer Testing and Acceptance Strengthens Grid Engine

Austin, TX, August 22, 2011 — Building on the strong market presence of Grid Engine, Univa, the data center automation company, today announced accelerating customer acceptance, across all regions and industries, of its commercial Grid Engine product.

In the first six months since the launch of Univa Grid Engine, Univa has surpassed its milestones, signing several long-term contracts with many of the largest, most prestigious and demanding Grid Engine users, including TATA Steel Automotive Engineering, Hess Corporation, Motorola Mobility, Panasonic, Deutsches Elektronen-Synchrotron and NASA.

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Free Trial

Univa Delivers Powerful Performance Enhancements for Grid MP

Version 5.8 Includes Support for Amazon EC2 Spot Instances and Faster Performance

Lisle,Il, April 19 2011 - Univa (www.univa.com) the Data Center Optimization Company, today announced the general availability of Univa Grid MP version 5.8. Grid MP is the leading product for building distributed computing environments from both non-dedicated and dedicated resources to deliver increased capacity, from small-scale desktop scavenging deployments to global enterprise-class and even Internet-based grids.

Enhancements in Grid MP 5.8 include:

  • Performance Improvements ensure faster performance in
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Powerful
Performance
Enhancements
Grid MP

Univa Grid Engine 8.0 Now Available

Offering Enables Organizations to Protect Investments

Lisle, IL, April 12, 2011 – Univa, the data center optimization company, today announced the availability of Univa Grid Engine 8.0, the company's initial release of Grid Engine that is quality controlled and fully supported by Univa.

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Grid Engine 8.0
Available

Univa Delivers Powerful Reporting

Single Reporting Product Works with Multiple Schedulers Like Grid Engine and Grid MP

Lisle, IL, February 14, 2011 – Univa, the data center optimization company, today announced availability of UniSight a reporting product that increases the productivity and efficiency of people and processes through visibility into cluster resource utilization.

UniSight is a reporting product for Grid Engine and Grid MP that makes it easy for organizations to track and measure resource utilization without adding complexity to Administrators' tasks.

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Delivers
Powerful
Reporting

Univa Closes Additional $7M in Funding

Financing to Accelerate Data Center Optimization Strategy

Lisle, IL, January 25, 2011 – Univa, the data center optimization company, today announced it has secured $7M in new financing to accelerate the company's market strategy.

Participating in the funding are new investors Core Capital Partners and Hatteras Funds as well as incumbent investors River Cities Capital Funds, ARCH Venture Partners, New World Ventures and Appian Ventures.

"Core Capital believes the market for virtualization and data center efficiency will be a top driver for corporate IT spending in the near term," said Mark

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Funding

Univa Acquires Grid Engine Expertise

Addition of Founding Sun Grid Engine Team Advances Data Center Optimization Strategy

Lisle, IL, January 18, 2011 – Univa, the data center optimization company, today announced that the principal engineers from the Sun/Oracle Grid Engine team, including Grid Engine founder and original project owner Fritz Ferstl, are joining Univa. The company will immediately offer superior engineering support for Grid Engine versions already installed and will publish a Univa version of Grid Engine before the end of Q1 2011. Univa will concentrate on improving Grid Engine for technical computing and HPC use

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Acquires
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Expertise

Univa Refines Data Center Optimization Strategy

Unique 'Continuous Optimization' Capability is Cornerstone of Operational Efficiency Value Proposition

Lisle, IL, January 10, 2011 – Univa, a leader in management software for physical, virtual and cloud environments, today announced its strategy and development plans for a complete reference architecture and software stack designed to deliver new levels of data center optimization.

The cornerstone of Univa's approach is its unique 'continuous optimization' capability, which lets companies achieve unparalleled levels of operational efficiency through improved resource sharing, amplified

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Refines
Data Center
Optimization
Strategy

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