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

Hardware Acceleration – A Roundup and Update with Nomura, Burstream and Fiberblaze

Subscribe to our newsletter

What’s been happening in the world of hardware acceleration of late? Despite a couple of killjoys on LinkedIn who reckon it’s still unproven technology, the answer is – quite a lot.

It was good to get an update from the coalface a couple of weeks ago at our London Low-Latency Summit. There, I chatted to Nomura’s Ben Stephens, who sells HFT and electronic trading services for the investment bank.

Nomura’s NXT platform – it stands for Nomura Extreme Technology – incorporates Field Programmable Gate Array (FPGA) technology for market data handling and pre-trade risk checks.

Stephens reckons that using FPGAs – and avoiding the I/O data bottlenecks between network and main CPU – saves NXT between 10 to 50 microseconds in overall latency. It also allows for very deterministic latency – i.e. minimal jitter – which is “really important” for customers running arbitrage trading.

Recent news includes a new managed service from Burstream, which began offering Nasdaq market data using FPGA-based data feed appliances from NovaSparks. Latencies of less than a microsecond – even at peak periods – are being observed.

Then the name Fiberblaze cropped up. A Danish company that builds FPGA-based network cards. Ullink has started to use them in its pre-trade risk offering, presumably offloading checks on to the card.

Also on our radar: Celoxica, with an offering for HFT Futures, and Redline Trading Solutions, which is making Goldman Sachs’ Sigma X dark pool zip along. Unlike many others in the hardware acceleration space, Redline uses Cell processors instead of FPGAs.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

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

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Impact of Derivatives on Reference Data Management

They may be complex and burdened with a bad reputation at the moment, but derivatives are here to stay. Although Bank for International Settlements figures indicate that derivatives trading is down for the first time in 10 years, the asset class has been strongly defended by the banking and brokerage community over the last few...