Latest News
Latest NVIDIA-based HPE system sets new records
4-socket server sets 5 kdb+ records in scale tests
First public cloud solution with publicly disclosed STAC-M3 results outperformed previously tested Lustre-based on-prem solution
New records for throughput and space efficiency, as well as performance in the large problem size
Outperformed previous Broadwell EX bare metal solution in 8 of 15 benchmarks
Unaudited benchmark results for a tiered SSD architecture
Featured Events
Fall 2018 STAC Summits
The Fall 2018 STAC Summits closed out an enormously successful year of events. Feedback from attendees was glowing, and the growth we've seen over the last few years continued: 2018 attendance was up 19% over 2017.
STAC Summits bring together industry leaders from top financial and technology firms to discuss ways to meet important engineering challenges in finance using innovative technologies.
The Fall round of STAC Summits across New York, London, and Chicago covered many important topics, including: how leading financial firms are using the cloud, the future of Python for data science, women in technology, the strange world of cryptocurrency markets and technology, how to benchmark machine learning solutions in business-meaningful ways, and the future of financial networks, as well as competing views on.... <more>
Recent Blogs
What will happen if all the major banks burst out to a handful of public clouds at the same time to meet the enormous computing requirements of new regulations? Your kids may not be pleased....
The STAC-TS Working Group has poured a lot of effort into developing standards and software for demonstrating timestamp accuracy to the satisfaction of European regulators concerned with RTS 25 of MiFID 2. Much of that effort has concerned software-application timestamps. App timestamping is central to many firm's plans but is one of the most misunderstood issues with RTS 25.
Hot Topics
Artificial Intelligence
Using neural and non-neural techniques to automate prediction and correlation
Quant finance (big data/big compute)
Making both compute- and data-intensive analytics faster and more cost effective
