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

A-Team Insight Blogs

Pico Taps Intel ‘Ice Lake’ to Achieve Sustained 100Gbps Processing for Corvil Analytics

Subscribe to our newsletter

Trading infrastructure specialist Pico has teamed with Intel to achieve 100Gbps sustained real-time processing for its Corvil Analytics product, which is used by financial institutions to manage and analyse their network flow. The development comes hot on the heels of Intel Capital joining other investors in funding a $135 million Series C investment round for Pico, announced in December.

With early access to Intel’s 3rd Gen Intel Xeon Scalable processors (code-named ‘Ice Lake’), Pico says it immediately experienced a 50% improvement in performance with no change in code or optimisation. Higher levels of performance improvement have since been achieved by leveraging the processor’s new capabilities and features.

“The performance improvements have been outstanding, we’ve never seen that much of a performance increase between two CPU generations before,” says Roland Hamann, Pico’s CTO. “We went from 42Gbps sustained capture per second to over 100Gbps sustained capture per second. And in the lab tests, we’ve seen that we can actually do up to 200Gbps in bursts. On top of that, we are not just capturing the data but also decoding and analysing it in real-time. There’s really nothing else out there on the market that does that.”

To get the most out of the new processor, there was close collaboration between Pico’s and Intel’s engineering teams, says Hamann. “Of particular note was the ability to select critical code threads for specialized processor treatment, thereby efficiently eliminating many prior performance bottlenecks,” he says.

“The biggest multinational banks have network backbones that now run 100Gbps, their challenge up until now has been capturing and analysing the data on those networks,” says Hamann. “With the new unit, they can capture everything, the whole of the US equities market, the whole of the US futures market including Opra A and B feeds for gap detection on one single appliance.  They can then decode all this traffic, analyse it, and even make the data available via API for integration into something like Splunk or Kx’s kdb+, for further analysis.”

The company plans to roll out its eighth-generation appliances based upon Intel’s Ice Lake family of processors later this year. “We anticipate high demand for this, given the recent surge in trade and market data volumes, and increasing corporate network data rates,” says Hamann.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The Vanishing Close: Rethinking Trade Surveillance for Always-On Markets

Date: 2 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Global markets are moving steadily towards longer and increasingly continuous trading. Extended-hours initiatives in US equities, the growth of overnight venues and the emergence of new markets and instruments are challenging assumptions that have underpinned trading and surveillance systems...

BLOG

FactSet Pushes Deeper into Enterprise Market Data Infrastructure with BCC Group Acquisition

FactSet’s acquisition of BCC Group International (bccg) brings the data and analytics provider further into the infrastructure layer underpinning institutional market data, as financial firms reassess architectures built around legacy distribution platforms. Announced last week, the deal brings bccg’s ONE Platform into FactSet’s Real-Time Solution Suite, combining FactSet’s real-time, historical and reference data capabilities with...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

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...