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

A-Team Insight Blogs

Summit Compute Panel – Mantara’s Arnold on Leveraging Technology

Subscribe to our newsletter

Concluding our coverage of last month’s Low-Latency Summit in New York City, the compute panel allowed Mantara chief architect David Arnold to discuss how the trading application vendor leverages technologies to reduce latency.  Mantara provides a platform for market data delivery, order routing and pre-trade risk, with customers requiring performance across the latency spectrum.  As such, the company keeps a strong focus on underlying technologies, and looks to leverage them as much as possible.

Arnold noted that the company has divided its technology approach into two streams, based on the latency needs of its customers.  For those requiring less than 100 microseconds, it has a software platform running on commodity x86 hardware.  For below 10 microseconds, it has a hardware/firmware offering.

For its software platform, Mantara focuses on the application architecture, paying attention to such details as binding threads to cores, keeping inter-thread communication to cores on the same chip, and making use of kernel bypass to deliver network traffic direct to the application.  Using these techniques, latencies as low as 10 to 20 microseconds can be achieved.

For the sub-10 microsecond world, where improvements in the 100s of nanoseconds are sought, Mantara relies on a hardware PCIe card, hosting a packet processor, which executes functions in firmware.

Packet processors are general purpose CPUs that have been optimised to perform I/O functions, such as memory management, packet steering, and network interfaces.  Mantara uses packet processors from GE Intelligent Platforms, and also leverages network stack technology from 6Wind.

Arnold noted that a packet processor direction provides good performance at the right price point, and that they approach FPGAs in terms of performance, but offer more flexibility, because they can be programmed using traditional techniques.

Mantara writes its code in C, rather than C++, in order to keep more control over the execution of it – there are “no surprises” with C, Arnold said.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at buy-side and sell-side institutions across the USA, UK and Canada, reveals a market in transition: from...

BLOG

Europe’s Consolidated Tapes Near Launch With Their Core Promises Unresolved

After nearly two decades of debate, the European consolidated tapes are now just weeks away. The equities tape is scheduled to go live in July, the UK bond tape on 22 June. Yet a panel at A-Team Group’s ExchangeTech Summit London, moderated by Scott Charity, Head of Market Structure at Berenberg, and featuring Hayley McDowell,...

EVENT

AI in Capital Markets Summit London

Now in its 3rd 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

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...