To support this complete architecture, AIEVE is sitting on the best technology framework in Big Data. All the data is secured by using authentication and authorisation frameworks. Security remains one of the top unresolved challenges for businesses today. Modern attack vectors are much more complex than in the past, yet traditional tools in most companies are often much more narrowly focused. Combating cybersecurity threats now requires a holistic view and analysis of all relevant information, combined together with a contextual perspective. Which allows a real-time feed by using: Apache Kafka and scalable processing by using Spark. We are a team of experts with paradigm shifting ideas. We believe in the pragmatic implementation of our projects, which gives us a great expectation of successful completion.
Peculium delivers a state-of-the-art big data analytic platform that can handle the analysis and architecture challenges of AML, KYC and CTF requirements. It leverages the full power of clustering to analyze the large-scale data sets required, shortening long processing times from days down to minutes.
Is the achievement of several years of research and innovative collaboration of professionals in different fields.
The main purpose is to operate ethically balanced machine learning algorithms to take the safest -thus best- investment decisions in the cryptocurrency-market.
The Peculium AI in its automatic machine learning purpose requires an effective computation resource that can handle complex and parallel simulations for its goal to process maximum data.We present the main architecture and the technology used for each of the AI processing scope (BigData, AML, KYC and CTF). In this presentation we explain the sophisticated processing of the large amounts of data expected, the tools and the technical environment built to achieve these tasks.
GPU : NVIDIA TESLA V100MemoryNetwork cardSSD & I/O aspect (GPFS/Lustre)
InfiniBand high-speed interconnect technology Fiber channel
OS (Redhat, Fedora, Debian, Centos) - SGEMPI/OpenMPI - SLURMDDT (debug tools)
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