Five Ways Univa Saves You Money

By Nicole Hemsoth

March 4, 2013

In today’s world of swiftly shortening time-to-market windows, an organizations’ ability to Univainnovate and meet these windows of opportunity necessitates that they become indubitably dependent on technology. The core of this technology is the IT infrastructure that serves as valuable a purpose to end-users as the telephone cables and poles of the plain old telephone system (POTS) enables the dial tone we expect when we pick up a phone.

During tough times it is commonplace for an organization to save money by cutting budgets and postponing major expenses as long as possible. Against this reality it might seem unexpected to suggest that an organization invest in the modernization of a core and fundamental software component in its technical computing infrastructure. Indeed, such an investment can provide a high return while at the same time enhancing an organization’s research and design capabilities.

We have identified five key ways that Univa creates business value for our customers for a modest investment. By upgrading Grid Engine an organization can reduce downtime, boost its jobs per day throughput and find ways to manage application license costs to help meet the budget cut requirements in capital spending imposed by the reality of tough times. 

1. Enterprise-grade Support

With Univa the availability and expertise of support is a given and it comes with a service-level guarantee, telephone support line and the ability to fix the issue that caused the problem in the first place.

As a customer, you don’t just get support when you need it from Univa. You gain access to our exclusive expertise in the scheduler, policies and best practices. Our customers regularly tap us for our knowledge and then apply it to their unique environment and configuration. Often this leads to customer requirements on our roadmap.

“If I went to another company that was using purely an open-source Grid Engine, I would take Univa with me to assure this kind of flexibility and security. I know Univa has my back.”
Katrina Montinola, Archimedes

Support is more than availability alone. The key piece of value – which we offer through subscription – for the core software technology is that we employ the experts who are the key contributors to more than 97% of that software. Therefore, we have the people with the know-how to put in the changes or fixes for you, when required.

With Univa Grid Engine you don’t need to be the expert in the resource manager. You are free to focus on pressing business needs.

2. Unique Performance Features

Performance of modern workload management systems can be defined many ways depending on the primary use and dependency on the system. For many Grid Engine users downtime is the most unacceptable situation. Univa views stability as the foundation of performance that enables the workload management system to maximize throughput. The stability found in Univa Grid Engine has allowed the design of unique features that extends performance to make Grid Engine perform better in the most demanding data centers. Simply put, Univa Grid Engine is the fastest and most stable version of Grid Engine ever.

“…the benefits are significant, especially in managing the risk the business is exposed to.”– Tata Steel

In addition, there are numerous functional improvements in Univa Grid Engine that increase throughput and reduce administration time including Job Classes, Small Job Support, Core & Non-Uniform Memory Access (Numa) Binding support in the master and improved debugging and diagnostics that will cut 90% of the time that it would have taken with open source Grid Engine to determine why jobs fail.

3. Gain Insight through Analytics

Univa bundles UniSight, a Reporting and Analytics tool, that allows organizations to measure, track and chargeback usage on Univa Grid Engine clusters. UniSight provides organizations with the insight they need to make better decisions.

Armed with the knowledge from the reports, companies can reduce spending, ensure investments are delivering value, and make truly informed IT strategy and budget decisions.

4. Manage Licenses

Most Grid Engine users have long desired to manage application licenses as a resource with confidence and at scale. Often only monitoring license usage or using custom home-grown scripts was the primary solution. Until now that is.

Univa License Orchestrator prioritizes the sharing of limited and expensive application license features according to business objectives by incorporating availability into Univa Grid Engine scheduling decisions. Univa License Orchestrator enables maximum workload throughput for users, groups or projects with flexible sharing policies and simple configuration bringing administration efficiency.

Improving the efficiency of expensive application licenses provides immediate and measurable value and savings to an organization.

5. Share with Hadoop

As Big Data technologies enter the enterprise, they must coordinate and integrate with existing systems management best practices in the data center. While benefits from Big Data applications are immense they can be quickly undermined with poor utilization when deployed as a stand-alone system with the inability to share resources.

Univa offers a range of benefits to Big Data applications by integrating Hadoop into the Grid Engine cluster. A shared infrastructure reduces the costs of deploying Hadoop by up to 50%, while the inherited policy-driven scheduling increases utilization and control.

Univa’s support for dynamic and multiple instances of Hadoop and other applications on a shared cluster drives up utilization, and that saves money.


Automation products like Univa Grid Engine drive the overall efficiency of expensive compute and data infrastructure, which in turn makes the users more productive and that is the recipe for innovation and a roadmap to meet the rapidly shortening time-to-market windows. These five ways to create value make Univa Grid Engine an investment with a quick ROI.

Try it for yourself. Download our FREE Trial and take the product – and Univa’s expert support – for a spin.

Download now

For a complete list of benefits please read the product page or read the release notes which can be found here

Related Articles:

TATA Steel Automotive Engineering Depends on Univa: TATA Steel Automotive Engineering’s concern grew when open source Grid Engine support and development was discontinued by Oracle.

Reduce Hadoop Operational Cost by 50 Percent: A case study about how Archimedes put Hadoop in production for less with Grid Engine.

BioIT World Webinar: Have you cracked the genetic code to sharing? Join Archimedes Inc and Univa as they explore shared infrastructures including Hadoop in production.

Grid Engine Release Update: Read what’s new in our 26th development release in 18 months

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire