B2B Goes On-Demand With Trading Grid

By By Derrick Harris, Editor

March 26, 2007

The notion of on-demand computing takes on many different faces, from grid computing to utility computing to software-as-a-service, but one aspect that doesn't get much attention — especially in high-performance circles — is managed services, or outsourcing. Meet GXS.

With its highly successful Trading Grid infrastructure, the company seems to dominate the business-to-business (B2B) transaction market, boasting 41,000 customers worldwide. The Trading Grid itself is a collection of hardware and software services that manages information sharing between GXS customers and their trading partners (buyers or sellers), and is capable of handling documents in a wide variety of standard formats, be they EDI, RosettaNet, XML or almost anything in between. The Trading Grid also offers the “classic SOA proposition” by composing solutions for customers by linking various services.

According to GXS Chief Technology Strategist John Radko, while the e-commerce is not necessarily new in the B2B space, the proliferation of information, stemming from more highly specialized companies and, as a result, more trading partners, demanded a more centralized and efficient platform for getting the job done. “Today, what goes on is ever-increasing scale of operations, and that's why me moved to the Trading Grid architecture,” he said, adding that the platform handles about 2 billion discrete transactions every year, with each one potentially involving several documents.

Architecturally, Radko said GXS began utilizing mainframe technology, eventually evolving into open, scalable systems to address the increasing need for flexibility. “Increasingly, what we found is we needed to be scalable in unpredictable ways,” he noted, “meaning we couldn't predict which service or offering was going to take off, and we needed to be more flexible in terms of what we could operate, what kinds of software and what kinds of partners we could have.” Thanks to its loosely coupled services, the new architecture — the Trading Grid — also helped to eliminate the stovepipes into which GXS had placed its services.

Continuing this evolution, GXS recently announced its Trading Grid Ultra deployment model, which allows customers to carry out their Trading Grid jobs on a state-of-the-art platform. Trading Grid Ultra utilizes 4-CPU Egenera blades (part of what Radko describes as a “framed blade farm”) for processing, EMC SAN technology for storage, Forum Systems software for Web services enablement and Cisco networking solutions. To illustrate just how far technology has advanced in recent years, Radko points out that, “Our heritage was back in the mainframe days, but on our go-forward Trading Grid Ultra infrastructure, the largest server that you have access to … is a 4-CPU box.”

One Trading Grid customer that already has gone Ultra is Royal Bank of Canada (RBC), which uses GXS's managed services for the institution's B2B and even B2B2B operations. Brenton Trites, RBC's product manager for automotive- and asset-based financing, describes the Trading Grid as “mission-critical” for his department, which is tasked with coordinating financial information among the bank, the dealer and the auto manufacturer. “The alternatives, if we look at our current competition, they use fax, courier, paper file transfers and e-mails,” said Trites. “What we use is a complete, custom-made application specific to customer-friendliness for the ease of transaction.”

However, the Trading Grid platform not only saves time when compared to the “arduous” process of exchanging paper documents via courier or e-mail, it also results in increased efficiency. Trites said some competitors use 60 people to do the same jobs that RBC accomplishes with, on average, 2.5 people. Errors also have significantly decreased since going to the Trading Grid, he added, and in 10 years of working with GXS, RBC has experienced an incident downtime total of only three days.

“If we look at what this department brings to the Royal Bank of Canada, and how integral [the Trading Grid] is, originally you would think of it just as a calculator to record and store data,” Trites explained. “But, when we put it into a Web based interface to the customer … it is unparalleled in the industry in Canada at this point.”

He added that due to the efficiency of passing and managing financial data via the Trading Grid, some customers and partners have been able to consolidate from three to five accounting departments to one centralized location. And while RBC expected about 40 percent of their customers to sign on with the platform themselves, the bank actually has seen a subscription rate of 92 percent.

Of course, RBC is just one of many GXS customers, and Radko cites the year-to-year growth rate for the company's managed services at around 20 percent. The reason for this growing number, as noted earlier, is the ever-increasing numbers of trading partners with whom companies are having to do business, as well as the ever-increasing complexity of these transactions. By signing on with GXS, though, customers are able to share the cost of maintaining robust implementations of nearly two dozen communications protocols and the ability to handle documents in any number of formats. It would be very difficult — almost impossible — says Radko, for a single enterprise to, in a cost-competitive manner, match what the Trading Grid can offer.

“When you think about things like reliable storage, that tends to cost a lot. When you think about disaster recovery and high availability in a flexible, yet still commodity-priced model, that tends to be very complicated,” Radko averred. “By going to this rigorously standardized Trading Grid model, it helps … fuel … business.”

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!

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…

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…

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…

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 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…

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