ASPEED Taking Financial Grids to the Next Level

By By Derrick Harris, Editor

May 29, 2006

In a move to gain traction in London's ever-important financial services sector, ASPEED Software has announced two partnerships in two weeks with organizations serving the United Kingdom's financial institutions. The first announced was with France-based NET2S, which describes itself as “an international consultancy specializing in capital markets technology.” The latter was with FIFTHWAVE Solutions, a firm that focuses on providing infrastructure solutions.

When I asked Kurt Ziegler, ASPEED's vice president of marketing and product management, “Why Europe, why now?”, he noted that “most financial institutions are … getting a lot of their Grid/multi-processing out of the UK now.” He added that although ASPEED has traction on Wall Street, and although Wall Street is still very important, a lot of the banking industry's technical efforts are either based in or have moved to London. And when it comes to Grid computing, it is in this plane of advanced users where ASPEED plays.

Said Ziegler: “It seems like the UK market is a little more mature vis a vis Grid, and they've come to a point where they're stuck. Meaning that they focused on the [applications] that were easily parallizable, and they've implemented that using DataSynapse or Platform — or whatever their choice was — and now they're having difficulty finding how to move the next one, which is the more complex application, where there are some data interdependencies and data sharing issues, and they weren't readily distributable.”

So, because the financial services industry, specifically in Europe, is (as we all know) the prominent vertical market in terms of Grid use, companies in this field are now running into what Ziegler calls “the next roadblock.” The first roadblock, which is an IT concern, was figuring out how to move to a Grid infrastructure in the first place — selecting a vendor, learning the technology, figuring out which applications are the low-hanging fruit, etc. The next roadblock, which Ziegler describes as an “application problem,” is figuring out how to make distributable across an enterprise grid the next level of applications, which are already parallelized within an individual box, without taking the time to rewrite (often times) hundreds of such applications.

As a result, “They're looking at what knobs they can turn to the application to take advantage of the grid,” Ziegler said. This is where ACCELLERANT, ASPEED's flagship solution comes in. I'll leave out the detailed product description (you can find out all about it at on the ASPEED Web site), but the gist of it is that ACCELLERANT is a software additive: It isn't relevant to the grid itself, Ziegler noted, just the application. ACCELLERANT allows applications run across multiple processors in one box, across separate boxes or across geographically dispersed systems.

It is this distinction that makes the partnerships with NET2S and FIFTHWAVE each unique in their own respects. NET2S, for example, is what Ziegler describes as an integration company, focusing on application content and a “vertical stack.” The company helps financial institutions using a top-down approach, managing their business applications all the way down to the actual infrastructure. This business model “fits very, very nicely” with ASPEED's own sales model, Ziegler said, where calls generally start with the lines of business (e.g., risk management, credit risk, pricing, etc.) that own specific applications.

FIFTHWAVE, on the other hand, takes a more horizontal approach to its services. The company, Ziegler said, is more of a virtualization company, whose emphasis is on providing underlying platforms that enable applications to run — a bottom-up approach. This allows ASPEED to cover all its bases because, as Ziegler pointed out, there are a lot of companies where the IT department is the entry-point, and FIFTHWAVE has “tremendous inroads” in this space.

However, despite the company's focus on financial services, ACCELLERANT has been successful in other areas, including the pharmaceutical sector, where Ziegler said it has helped in “dealing with algorithms that had not been presumed to be distributable.” It has been very helpful, in particular, with NONMEM models, which help to determine, among other things, certain populations that shouldn't take a particular drug (think of the caveats, or disclaimers, at the ends of prescription drug commercials). From a distributed computing aspect, the problem with NONMEM-based applications, Ziegler explained, is that they are concerned with non-linear regression, and are not easily separatable like a Monte Carlo simulation. That said, ASPEED has been successful in finding ways to cut lapse time in these models, he said, and the company currently has about 20 pharmaceutical companies in various stages of pilot models.

The company has also entered the energy risk market, Ziegler said, and is making inroads in the government sector, where users are trying to move applications from a shared-memory model to grid-like systems using commodity hardware.

Financial services, though, is where ASPEED has its roots and the market continues to be the company's flagship. Outside of the United Kingdom, where it just announced the two partnerships, Ziegler said the company has also gained some traction in Hong Kong and Singapore, although it is working on developing some service relationships there before “putting that flag up.” In the United States, the company has been quite successful, though. “We've had some major financial institutions in banking, as well as in the capital markets [and] hedge funds,” he said. Also, the ASPEED has a steady flow — about one per week — of pilot programs for financial services companies, something Ziegler calls “”nice problem to have.”

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!

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t 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 are available off the shelf, a concern raised at many recent 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  — announced its second fund targeting €200 million. The very idea th 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…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its 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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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