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

Calxeda Hires Niall Dalton and Geno Valente

Subscribe to our newsletter

Calxeda – developer of EnergyCore ‘system on a chip’ processors being pitched at big data applications – has hired Niall Dalton and Geno Valente, both of whom are well known in the financial markets space.

Dalton has joined as chief software architect and will be based in the company’s soon-to-be-opened Sunnyvale, Ca. office. He was previously director of HFT at Cantor Fitzgerald, where he first came into contact with Calxeda’s technology, and subsequently participated in the company’s launch in November 2011. At that time, he commented: “We need a 10x breakthrough and this could be it. We are evaluating the Calxeda technology in hyperscale throughput computing for data and simulation intensive applications. The Calxeda Linux platform enables rapid porting of our software, enabling us to quickly leverage the energy-efficient RM cores and Calxeda’s scalable communications fabric to scale our applications to new heights.”

Chicago-based Valente joins from big data management specialist XtremeData, where he led sales and marketing. Previously, he was with FPGA vendor Altera. While at XtremeData, he forged an alliance with Noetic Partners to create The Edge, a system for performing analytics on realtime and historical market data. At Calxeda, he has a business development role, focused on end users.

While neither role – or the company itself – is focused exclusively on the financial vertical, it’s clear that there is interest from that segment in the Calxeda’s technology to support both big data and cloud applications. In that respect, both Dalton and Valente will bring valuable domain expertise to the company.

Calxeda’s EnergyCore chips leverage the ARM microprocessor design, generally used for chips found in portable devices, such a mobile phones. But Austin, TX-based Calxeda is pitching its chips in a massively parallel architecture at enterprise servers to be deployed in data centres, where power consumption is an important facet of performance. Server vendor Boston recently announced the first commercially available offering based on Calxeda’s chips, while HP is incorporating

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

AiMi Unveils Agentic Workflow to Automate Mandatory Market Changes

AiMi, specialists in AI for trading and market data operations, has launched an end-to-end agentic workflow designed to streamline how firms manage mandatory changes from exchanges and market data vendors. The new capabilities build on AiMi’s existing AI-enabled platform, introducing a dynamic suite of digital agents that automate the tracking, review, and triage of market...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...