GPU accelerated databases: What are the use cases?
Many organisations are becoming increasingly aware that GPU accelerated databases are the future. However, they may struggle to envision how it would fit into their
Brytlyt is the world’s first all-in-one browser-led platform that enables GPU in-database AI with deep learning capabilities.
With Brytlyt’s data science, we utilise GPU parallel processing to accelerate AI, in the database, to make deep learning accessible for data scientists at every level.
Brytlyt’s visualisation technology connects you to your data like never before, kicking off your journey to accessible deep learning.
BrytlytDB was built with effortless analytics and accessible deep learning in mind. With the power of GPUs, BrytlytDB can enhance any analytics process.
Low-latency geospatial plus streaming with interactive mapping.
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Drilling and well analytics.
Proactive risk, fraud detection, scenario modelling.
Route optimisation.
Post sequence alignment genome analysis.
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Many organisations are becoming increasingly aware that GPU accelerated databases are the future. However, they may struggle to envision how it would fit into their
Private enterprises, governments and practically all types of organisations are making use of this next-generation analytical agility. The talents of accelerated analytics are already used
Graphics Processing Units (GPUs) have become one of the most important types of computing technology, particularly in enterprise. Designed for parallel processing, GPUs are used
To be ahead of the competition, having the best technology naturally gives you the advantage. Whether you have a racing team or can act on
There is now more of a demand for data visualisation tools than ever before, not just from highly technical analysts, but from politicians, salespersons, small
From a small challenge posed by the US Ministry of Defense to an international platform responsible for hundreds of thousands of users, Tableau’s data visualisation
Amazon Redshift is the data warehousing service that forms a key part of the overall AWS cloud solution. Redshift enables organisations, both large and small,
When choosing your data warehouse, one of the key decisions will be that of scalability; the ability of your data warehouse to meet your needs
By Richard Heyns: In a recent benchmarking by Mark Lintwintschik, Brytlyt was the fastest database of all the databases tested. Mark evaluates databases using his
Today, gaming studios are using data analytics to identify and understand their players, but often they do not have the necessary analytic and visualisation tools
As the use of Amazon Web Services (AWS) has become mainstream, one service that gets a lot of attention is Amazon’s Redshift database. After all,
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