XTX Markets Develops TernFS: An Exabyte-Scale Distributed Filesystem for Algorithmic Trading Research
By
rostayob
Toasted golden, schmeared with insight. Top of the rack.
Summary
XTX Markets, a leading algorithmic trading firm, developed TernFS as a custom distributed filesystem to handle their massive computational needs for machine learning research. The system evolved from a simple NFS setup to an exabyte-scale, multi-region filesystem capable of supporting tens of thousands of GPUs and hundreds of petabytes of storage. The article details the technical challenges of scaling storage infrastructure to match their growing compute requirements for financial forecasting models across 50,000+ instruments.
Key quotes
· 4 pulledXTX is an algorithmic trading firm: it builds statistical models that produce price forecasts for over 50,000 financial instruments worldwide.
The firm started out with a couple of desktops and an NFS server, and 10 years later ended up with tens of thousands of high-end GPUs, hundreds of thousands of CPUs, and hundreds of petabytes of storage.
As compute grew, storage struggled to keep up. We rapidly outgrew NFS first and existing op
The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.
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