LSEG Joins Forces with NVIDIA to Supercharge Financial Data Processing
LSEG partners with NVIDIA to use GPUs and cuDF to process massive Tick History datasets in seconds instead of hours for financial institutions.
The London Stock Exchange Group (LSEG) has entered into a strategic partnership with chipmaker NVIDIA to revolutionize how financial institutions handle massive amounts of market information. By leveraging advanced computing power, the collaboration aims to significantly speed up the processing and analysis of LSEG Tick History, a colossal global archive of intraday financial market data.
Taming 110 Trillion Rows of Data
The scale of the data involved is staggering. LSEG Tick History serves as a comprehensive repository containing 110 trillion rows of data. This archive spans 30 years of market activity, covering 100 million financial instruments across more than 580 exchanges, trading venues, and contributors worldwide.
To manage this mountain of information, LSEG will integrate NVIDIA's cuDF—an open-source data processing toolkit within the NVIDIA CUDA-X framework. This allows for high-speed data analysis using NVIDIA GPUs. Crucially, the technology enables this acceleration without the need to create entirely new copies of the massive datasets, ensuring that existing licenses, permissions, and security controls remain fully intact.
From Hours to Seconds: A Massive Leap in Speed
One of the most impactful outcomes of this partnership is the sheer reduction in processing time. Benchmark tests have demonstrated that years of LSEG Tick History data, which previously took hours to process, can now be analyzed in just seconds using NVIDIA cuDF and Polars.
This shift is becoming increasingly vital as the financial world moves toward near 24-hour equity trading. Traditional legacy models, which often rely on loading market-close data and running overnight analytics, are becoming obsolete. Modern firms require real-time or near-real-time insights to stay competitive.
Empowering Quantitative Research and AI
The partnership provides several key advantages for financial professionals:
- Enhanced Quantitative Research: Institutions can test strategies across longer historical periods and a wider variety of market conditions without losing data granularity.
- Superior Market Analysis: Users can reconstruct historical order books and examine past liquidity, pricing, and trade execution quality in much finer detail.
- AI-Driven Insights: The collaboration supports risk analysis and historical market simulations, allowing customers to apply their own proprietary AI models directly to LSEG's governed data.
"Customers want to work with detailed historical data at speed, without the burden and risk of creating another full copy," stated Ron Lefferts, Co-Head of Data & Analytics at LSEG. He noted that this allows firms to analyze deeper histories much closer to the moment a decision is made.
Surging Demand for Real-Time Data
The move comes at a time of explosive growth in data requirements. LSEG reported that in the first half of 2026, traffic over its real-time network grew by 29% compared to the previous year, hitting a peak of 26 million messages per second in June. Furthermore, customer API requests for Tick History data saw a significant jump of 48%, underscoring the urgent need for the high-speed processing solutions provided by the NVIDIA partnership.