TIBCO Seeds Cloud with Silver Grid

By Tiffany Trader

February 7, 2012

TIBCO is moving its grid computing software to the cloud, starting with its GridServer product. The company is leveraging the Amazon Web Services computing infrastructure to provide customers with an easier and less expensive way to access its advanced grid computing technology. TIBCO Silver allows customers to pay only for the resources they use – with no upfront investments or long-term commitments. To get the full story on this venture, I spoke with TIBCO’s Director of Product Marketing Ivan Casanova.

TIBCO logoCasanova was the also the chief marketing officer for DataSynapse, which was purchased by TIBCO in 2009 for approximately $28 million in cash. The company’s flagship product GridServer was one of the more successful commercial grid computing products out there, and still has a solid customer base, with more than one million deployed CPUs spread across 1,000 global installations.

According to Casanova, TIBCO has provided the DataSynapse team with a good home. The original DataSynapse group, including founders Peter Lee and Jamie Bernardin, are still with the business unit, and TIBCO has continued to invest in both the technology and customers. “We’ve literally had 100 percent customer retention,” Casanova declares, “and two significant releases of GridServer since TIBCO acquired it. Our support renewal ratio is close to 100 percent. There’s good synergy.”

GridServer in the Cloud

With its robust processing power and scalable infrastructure, GridServer lets users model and simulate different scenarios with tens of millions of data points, for faster results and more-precise analysis. These capabilities are what make it a perfect fit for the financial services industry.

“Pretty much every single big investment bank in the world uses GridServer technology for grid management,” explains Casanova. Some of these systems have as many as 70,000 cores all doing calculations on a single grid. TIBCO counts about a dozen customers in the 30-40,000 core range as well.

After the acquisition, the DataSynapse grid computing team formed a separate business unit at TIBCO to focus on cloud. Late last year, the company launched a cloud service based on GridServer, called Silver Grid, which runs on the Amazon Web Services infrastructure. It is part of a larger cloud push from TIBCO where all of the company’s products will eventually run online.

The GridServer middleware takes the user’s code and automatically distributes it. Amazon gives you the machine, but TIBCO gives you all the infrastructure that you need to run parallel compute workloads. The cost is $0.05 per engine per hour, with unlimited applications.

“We’ve taken a product that traditionally has been sold for millions and millions of dollars to investment banks and we’ve stripped it down and made it incredibly easy for folks to use,” Ivan comments.

“Anybody can basically log into our website, set up an account and start using the software for a few cents an hour for distributed computing workloads,” he continues.

Silver Grid employs a pre-paid model, which means that customers can open up an account online and then buy time on the grid. Users run their grid jobs and their account is debited in real time. When the balance gets low, the system sends a notice reminding the the user to top-off, which they can do with a credit card online. From a provisioning perspective, Silver Grid is integrated with Amazon, so when you set up your grid, you enter your Amazon credentials, and TIBCO takes care of provisioning the machines.

As far as potential markets, they’re looking at the academic community, the scientific world, and any other sectors that can potentially use high-end grid computing software to get access to advanced architecture that was previously beyond their reach from a pricing perspective.

Casanova also emphasizes the platform’s ease-of-use, stating: “You log in, set up an account, configure how big you want your grid to be, click start, and within a few seconds, your grid is launched.”

Like the lower price point, the simple user experience may open up this technology to markets that never had access before. To further facilitate adoption, the company provides users with sample code and tutorials on how to write parallel code that can take advantage of the grid.

When asked what differentiates the on-premise solution from the cloud platform, Casanova explains that the on-premise customers fit their traditional user profile. These are financial services firms, investment banking and to a lesser extent, insurance companies, running lights-out, 24/7 setups, with millions or billions of risk calculations being performed on a daily basis. When it comes to such large implementations of grid, DataSynapse is the technology of choice.

However, in cases where a smaller infrastructure is desired, where the users needs a few nodes to do HPC or grid programming around, they don’t need the full-size grid product. That’s where the cloud service comes in. TIBCO took the same back-end software as the foundational technology, but made it really simple for the customer to get their code running, simple to operate and manage, and lowered the admission price.

The investment banks, on the other hand, are not interested in the public cloud option given the sensitive nature of work they do on the grid. They’ve told TIBCO that they have no plans to leverage the public cloud as a platform to run those sensitive workloads. Even if they saw a business case for it, the US and other countries have regulatory and compliance issues that prevent them from doing so.

For these reasons, TIBCO’s cloud solution is aimed at markets that have high-end workloads but a different set of regulation and compliance issues. Academia, the scientific community, and pharma are all good candidates. Casanova is enthusiastic about the prospect of “taking a technology as advanced and sophisticated as grid computing software and perhaps giving an opportunity for some customers who were never really were able to access that technology and give them simple and ubiquitous access to it.”

TIBCO is calling this a “soft launch.” With a business outlook that is cautiously optimistic, company leaders want to battle-test the architecture and collect customer feedback before embarking on an all-out campaign. Despite the lack of pro-active marketing, Silver Grid has still managed to acquire a few thousand customers simply through word of mouth, and initial reports have been very positive, Casanova reports.

TIBCO’s goal here, according to Casanova, is “to create the world’s most sophisticated and – from a CPU perspective – the most widely used grid computing software and make it available to the masses.”

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!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

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…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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…

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…

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…

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…

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…

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…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire