Sun Grid Goes Live

By Nicole Hemsoth

March 27, 2006

Sun Microsystems Inc. announced Internet access of its Sun Grid Compute Utility in the United States. Through a simple-to-use portal, users — including developers, scientists and researchers — will now have access to Sun Grid, the world's first compute utility available at $1/CPU/Hour. With low barriers to entry and exit, easy access and no long-term contracts required, users in diverse industries — including finance, oil and gas, education and life sciences — will now be able to run complex computational tasks, technical applications and develop applications on Sun Grid. Users in the United States can access the pilot release of Sun Grid at www.network.com.

“Sun is the first and only vendor to make a credible utility grid offering available via the Internet,” said Jonathan Schwartz, president and COO of Sun Microsystems. “By delivering computing as a service, Sun Grid helps developers, academics and computing professionals optimize time to results without investment in IT infrastructure. On-demand computing is now truly on demand — with a credit card and a Web connection, not a complex outsourcing relationship.”

“With the Sun Grid offering, Sun is taking a leadership position in the emerging utility computing market — an IT market that has a sustainable growth opportunity. The Sun Grid really is 'Infrastructure as a Service,'” said Vernon Turner, group vice president and general manager at IDC.

“Oracle is working closely with Sun to help ensure that Oracle's software and On Demand offerings are optimized for the Sun Grid,” said Juergen Rottler, executive vice president of Oracle On Demand and Oracle Support.

Over the past year, Sun has been working with customers from numerous industries who have developed and deployed applications on the Sun Grid. Industry successes include:

  • Life Sciences: With Sun Grid, Applied BioSystems was able to react to new intelligence in the genomic field and perform compute-intensive data research to develop millions of new genomic assays in a matter of days rather than months.

“Understanding the genetic basis of disease is going to become more and more important in the search for new cures and novel drugs, so our goal is to make sure our researchers and customers have access to the tools and reagents they need to accelerate the science,” said Francisco M. De La Vega, scientific fellow and senior director of computational genetics at Applied BioSystems. “Sun Grid helped us achieve this goal by helping speed to market our pre-designed TaqMan assays and reducing our computing time from three months to six days; we eliminated the need to purchase additional hardware, saving the company several hundred thousand dollars; and we simplified data management and delivery of results.”

  • Finance: CDO2 is providing innovative pricing and risk technology for organizations trading structured credit products and is the first Software as a Service Partner Solution on Sun Grid. Utilizing the Sun Grid Compute Utility to power robust risk simulation services, CDO2 has enabled its customers to run complex financial simulation spreadsheets to get critical financial figures in minutes and make critical business decisions more quickly.

  • Oil and Gas: Virtual Compute Corp., a high performance computing service provider, continues to use Sun Grid to provide quick, easy access to CPU cycles to meet the growing cyclical business demands of the oil and gas industries. VCC and Sun Grid are successfully demonstrating to major oil and gas companies that using Grid-based computing on a utility basis can increase service while driving down cost.

“By using the Sun Grid Compute Utility, we were able to save up to $3 million and ramp up to production much more quickly than if we did it on our own,” said Edward Hawes, CEO Virtual Compute Corp.

  • Education: Princeton University is the first recipient of the Sun Grid Education Grant program, awarded in December 2005. The donation of 100,000 CPU hours on Sun Grid — using the Solaris 10 Operating System — has helped Princeton to conduct its cutting-edge astrophysics research at resolutions that previously were not possible due to the costs of building the necessary computing power onsite. Sun also recently announced it has donated 1 million CPU hours to a total of 10 universities, including Binghamton University, State University of New York; Clemson University; Rutgers; Massachusetts Institute of Technology (MIT); The State University of New Jersey; Southeastern Universities Research Association; University of California, Santa Cruz; University of Minnesota, Duluth; and University of Wisconsin- Madison, who will each receive 100,000 CPU hours.

Sun partners and independent software vendors (ISVs) are also seeing opportunity on Sun Grid and are working to port and deploy applications on Sun Grid. Over 60 partners — including MSC (Nastran), LSTC (LS-DYNA), Cepstral, Mathspec, Datasynapse, Platform, Turboworx, Gigaspaces and Paremus — have already signed up through the Sun Grid Readiness Offer, Sun's partner offering that gives ISVs quick access to the resources they need to help build solutions based on Sun's Grid computing technologies.

With many of its partners, Sun is currently engaged in proof-of-concept testing of third party software on Sun Grid. A broad range of commercial applications are planned to be made available on Sun Grid.

“Running GigaSpaces-based applications on the Sun Grid provides our customers with benefits in both the proof-of-concept and production stages,” said Geva Perry, executive vice president of business development at Gigaspaces. “Because the Sun Grid is so easily accessible, our customers can rapidly perform proof-of-concepts in a large distributed environment, without the need to set-up such an environment in-house. Once in production, a combined Sun Grid-GigaSpaces offering allows our customers to significantly save costs by only paying for the hardware and software resources they actually use, as opposed to over-provisioning capacity for peak loads — mostly unused capacity which they would pay for with the traditional approach.”

Sun is offering a test drive of a text-to-speech application developed by Cepstral. Users can render their text or selected blogs to mp3 ready for podcast.

Callidus Software, a provider of Enterprise Incentive Management and sales performance management solutions, has selected the Sun Grid Compute Utility to host the Callidus On-Demand Solutions. The Sun Grid enables Callidus to provide its customers with a uniquely scalable and secure service that's also highly available — the first solution of its kind in the EIM marketplace.

Since initially being formed in October 2005, the Sun Grid Developer Community has supported hundreds of developers and dozens of projects supporting applications intended to be run on the Sun Grid. The Sun Grid Developer Community is ideally suited for small-to-medium ISVs, enterprise developers and researchers in academia who have high-performance computing, batch or transactional applications that they want to optimize to run on the Sun Grid.

Developers who come to the Sun Grid Developer Community will find a wealth of content, FAQs, documentation, sample applications, advanced tools and utilities and self-help to assist in Sun Grid-enabling their applications. By registering and joining with prequalified projects, developers will be granted 100 free promotional hours on the Sun Grid to run, test and debug their applications. They will also have access to a suite of on-demand collaborative software development tools, using CollabNet Enterprise Edition, including application lifecycle management and source code control.

To learn more about the Sun Grid's first 24 hours, see GRIDtoday editor Derrick Harris' discussion with Sun's Aisling MacRunnels at www.gridtoday.com/grid/604819.html.

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!

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…

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 pressing needs and hurdles to widespread AI adoption. The sudde 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