About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Can FPGAs Overcome the FUD?

Subscribe to our newsletter

So, those party animals at Activ Financial have invited me to a little gathering tonight – at the Nasdaq MarketSite in Times Square – to formally launch ActivFeed MPU, their new hardware-accelerated feed handling software.  It should be an great event, and I’m looking forward to finding out more about the black art of programming FPGAs (that’s Field Programmable Gate Arrays) – an emerging technology that could have a huge impact on low latency systems.

Activ is one of only a couple of market data players that I am aware of that are leveraging FPGAs.  Down in St. Louis, Exegy is also  in the game, with its ticker plant, but the approach the two companies are taking is pretty different.  Whereas Exegy has built an appliance – a hardware and software black box that uses FPGAs to maximise performance – Activ has re-written its existing feed handling software to exploit the HyperTransport technology used by AMD as part of its Torrenza coprocessor initiative.

With Activ’s solution, some software functions are executed on the main CPU, and some are run on the FPGA coprocessor, which comes from San Jose-based Altera.  Since HyperTransport is being backed by a consortium that includes Apple, Sun Microsystems and Cisco Systems, Activ hopes its approach will find more acceptability than a proprietary approach.

We’ll see.  Geek that I am, I remain a tad cautious in my expectations for real-life FPGA deployment on Wall Street.  My take is it’s gonna take a while for the FUD level – we are talking about relying on a new technology that’s understood by few – to be overcome.  Until it does, I suspect the more traditional multi-core, multi-threading technology direction will remain the focus of low latency development.

Perhaps one area where we will see early take up of FPGAs is in latency monitoring offerings like TipOff from TS-Associates.  Investing in monitoring software being perceived as way less mission critical than rolling out new ticker plants.  It will also be interesting to see what happens as Intel rolls out its own QuickAssist coprocessor technology.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...