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: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

TMX Group Agrees to Acquire RAFI Indices from Research Affiliates for US$490 Million

TMX Group has agreed to acquire RAFI Indices from Research Affiliates for US$490 million, adding the fundamental-indexation franchise to its TMX VettaFi indexing and analytics business. The transaction is expected to close by the end of the third quarter of 2026. RAFI Indices is the index business built around the fundamental-indexation methodology developed at Research...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...