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

STAC Points to Everest Boost

Subscribe to our newsletter

Via a report sponsored by data feed handler specialists SR Labs, the benchmarkers at STAC have just announced data for initial tests run on Intel’s recently-introduced Everest chip. Compared to Intel’s standard Westmere chip, one data point suggests a 22% reduction in mean latency.

Everest – or Intel’s Xeon X5698 – is a dual core chip, with each core running at 4.4 Ghz, compared to the X5687 (aka Westmere), with four cores at 3.6 GHz. Intel describes Everest as an “off roadmap” chip designed for “very specific, niche high performance computing applications” while still “running within warranty covered norms, specifications and safe thermal envelope.”

The tests were run using SR Labs’ MIPS (Market Data In Process System) feed handling software. While multi-core chips are often leveraged to boost application performance, some applications are inherently single-threaded, and so benefit more from increased speed of each core. Market data feed handlers and exchange matching engines are two such applications.

For the geeks, the two “stacks under test” comprised:

– SR Labs MIPS In-Process Market Data Line Handler for TVITCH 4.1 
– CentOS 5.5, 64-bit Linux 
– IBM x3650 Server 
– Myricom 10G-PCIE2-8B2-2S Network Interface 
– Processor: 
SUT A: 2 x quad core Intel Xeon 5687 3.60 GHz (“Westmere”) 
SUT B: 2 x dual core Intel Xeon 5698 4.40 GHz (“Everest”)

The test harness for this project incorporated TS-Associates’ TipOff and Simena F16 Fiber Optic Tap for wire-based observation, along with TS-Associates’ Application Tap cards for precise in-process observation. A Symmetricom SyncServer S350 was the time source for the harness.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Date: 21 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or...

BLOG

Tradeweb and Kalshi Announce Strategic Partnership to Expand Institutional Access to Prediction Markets

Tradeweb, the global operator of electronic marketplaces for rates, credit, equities, and money markets, and Kalshi, the world’s largest prediction market, have formed a strategic partnership to expand institutional access to Kalshi’s prediction market data. The collaboration also includes plans to support institutional-grade event contract trading via Tradeweb’s platform. The announcement brings a regulated prediction...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Entity Data Management & the LEI

Just over a year since the Financial Stability Board handed over leadership and direction of the interim Global Legal Entity Identifier System – or GLEIS – to the Regulatory Oversight Committee (ROC) of the LEI the entity identifier is being used for reporting under European Market Infrastructure Regulation. This report discusses recent developments in the...