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

Dell Boosts Server Performance For Algo Trading

Subscribe to our newsletter

Dell has introduced a self-installable firmware upgrade to its PowerEdge servers that boosts their CPU performance by 13% to 31%, while also reducing jitter. The Dell Processor Acceleration Technology (DPAT) upgrade has already been tested by firms engaged in algorithmic trading with significant results. Oh, and the upgrade is free.

The upgrade consists of a download of the latest BIOS code for Dell’s PowerEdge R620, R720 or R720xd servers, powered by the Intel E5-2690 (Sandy Bridge) CPU. The upgrade works with all operating systems supported on those servers, and also Dell’s OpenManage Essentials monitoring offering.

Dell specifically worked with algo and HFT firms to develop DPAT, says Brian Payne, executive director for PowerEdge servers at Dell.

According to Payne, DPAT works by controlling the Turbo Boost functionality of the Intel chips and locks in a continuous higher processing frequency by setting the number of active cores, but allowing them to use the entire local cache, even that set aside for the inactive cores. Jitter is reduced because the processor frequency is consistent, unlike the usual usage of Turbo Boost.

For trading firms with existing deployments of those servers, or those looking to purchase them, the firmware upgrade represents a very simple, low cost and quick to implement route to higher performance – without the need for hardware upgrades and testing, or application software code changes.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

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

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

The Data Management Implications of Solvency II

Bombarded by a barrage of incoming regulations, data managers in Europe are looking for the ‘golden copy’ of regulatory requirements: the compliance solution that will give them most bang for the buck in meeting the demands of the rest of the regulations they are faced with. Solvency II may come close as this ‘golden regulation’:...